pp-intercom

Intercom — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the intercom-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:

Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:
```
npx -y @mvanhorn/printing-press-library install intercom --cli-only
```
Verify: intercom-pp-cli --version
Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill.

If the npx install fails (no Node, offline, etc.), fall back to a direct Go install (requires Go 1.26.6 or newer). This installs into $GOPATH/bin (default $HOME/go/bin), so add that directory to $PATH instead:

go install github.com/mvanhorn/printing-press-library/library/sales-and-crm/intercom/cmd/intercom-pp-cli@latest

If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.

This CLI exposes the full Intercom REST API as a single Go binary. Every endpoint is a subcommand. A sync command mirrors conversations, contacts, companies, tickets, and articles into a local SQLite database so offline search and four headline transcendence commands — incident-tag, articles pull/push, contact 360, and conversations sla — answer the questions the API alone can't. Region-aware (--region us|eu|au) and built for agents (JSON-first, typed exit codes, MCP-mirrored).

When to Use This CLI

Use intercom-pp-cli when you need to run the same Intercom operation across many records, when the official MCP doesn't reach your workspace (EU/AU), when you need offline analytics the API doesn't compute (first-response SLA, contact 360 joins), or when you're building an agent that triages, tags, or summarizes conversations and needs every Intercom action as a callable tool.

Unique Capabilities

These capabilities aren't available in any other tool for this API.

Incident response and bulk ops

conversations incident-tag — Tag every conversation mentioning a phrase in a time window with one safe-by-default command.

When an incident hits, tagging 50 conversations by hand is the bottleneck; this is the single command that closes the loop without spreadsheets.
```
intercom-pp-cli conversations incident-tag --mentions "checkout fails" --since 24h --tag incident-2026-05-24 --apply
```

Help center as code

articles pull — Flatten every help-center article into a markdown tree you can edit in git, then push changes back.

Lets docs teams version-control help-center content alongside product code; multilingual articles land as sibling files.
```
intercom-pp-cli articles pull --to ./articles/
```

Local-only analytics

contact 360 — One nested payload joining a contact across companies, conversations, tickets, notes, and tags.

Replaces 4-6 separate API calls and a mental merge; this is the lookup an agent makes before every triage decision.
```
intercom-pp-cli contact 360 mei@example.com --agent
```
conversations sla — First-response and resolution-time metrics grouped by team or admin, computed over the local store.

Replaces the weekly export-to-spreadsheet ritual; the API alone can't compute this in one call.
```
intercom-pp-cli conversations sla --group-by team --metric first-response,resolution --since 7d --agent
```

Command Reference

admins — Everything about your Admins

intercom-pp-cli admins list — You can fetch a list of admins for a given workspace.
intercom-pp-cli admins list-activity-logs — You can get a log of activities by all admins in an app.
intercom-pp-cli admins retrieve — You can retrieve the details of a single admin.

ai — Manage ai

intercom-pp-cli ai create-content-import-source — You can create a new content import source by sending a POST request to this endpoint.
intercom-pp-cli ai create-external-page — You can create a new external page by sending a POST request to this endpoint.
intercom-pp-cli ai delete-content-import-source — You can delete a content import source by making a DELETE request this endpoint.
intercom-pp-cli ai delete-external-page — Sending a DELETE request for an external page will remove it from the content library UI and from being used for AI
intercom-pp-cli ai get-content-import-source — Retrieve a content import source
intercom-pp-cli ai get-external-page — You can retrieve an external page.
intercom-pp-cli ai list-content-import-sources — You can retrieve a list of all content import sources for a workspace.
intercom-pp-cli ai list-external-pages — You can retrieve a list of all external pages for a workspace.
intercom-pp-cli ai update-content-import-source — You can update an existing content import source.
intercom-pp-cli ai update-external-page — You can update an existing external page (if it was created via the API).

articles — Everything about your Articles

intercom-pp-cli articles create — You can create a new article by making a POST request to https://api.intercom.io/articles.
intercom-pp-cli articles delete — You can delete a single article by making a DELETE request to https://api.intercom.io/articles/<id>.
intercom-pp-cli articles list — You can fetch a list of all articles by making a GET request to https://api.intercom.io/articles.
intercom-pp-cli articles retrieve — You can fetch the details of a single article by making a GET request to https://api.intercom.io/articles/<id>.
intercom-pp-cli articles search — You can search for articles by making a GET request to https://api.intercom.io/articles/search.
intercom-pp-cli articles update — You can update the details of a single article by making a PUT request to https://api.intercom.io/articles/<id>.

companies — Everything about your Companies

intercom-pp-cli companies create-or-update-company — You can create or update a company.
intercom-pp-cli companies delete-company — Delete a single company. This endpoint does not permanently remove the company.
intercom-pp-cli companies list-all — You can list companies.
intercom-pp-cli companies retrieve-acompany-by-id — You can fetch a single company.
intercom-pp-cli companies retrieve-company — You can fetch a single company by passing in company_id or name. `https://api.intercom.io/companies?
intercom-pp-cli companies scroll-over-all — The list all companies functionality does not work well for huge datasets
intercom-pp-cli companies update-company — You can update a single company using the Intercom provisioned id.

contacts — Everything about your contacts

intercom-pp-cli contacts create — You can create a new contact (ie. user or lead).
intercom-pp-cli contacts delete — You can delete a single contact.
intercom-pp-cli contacts list — You can fetch a list of all contacts (ie. users or leads) in your workspace.
intercom-pp-cli contacts merge — You can merge a contact with a role of lead into a contact with a role of user.
intercom-pp-cli contacts search — You can search for multiple contacts by the value of their attributes in order to fetch exactly who you want.
intercom-pp-cli contacts show — You can fetch the details of a single contact.
intercom-pp-cli contacts show-by-external-id — You can fetch the details of a single contact by external ID. Note that this endpoint only supports users and not leads.
intercom-pp-cli contacts update — You can update an existing contact (ie. user or lead).

conversations — Everything about your Conversations

intercom-pp-cli conversations create — You can create a conversation that has been initiated by a contact (ie. user or lead).
intercom-pp-cli conversations delete — {% admonition type='warning' name='Irreversible operation' %} Deleting a conversation is permanent and cannot be
intercom-pp-cli conversations list — You can fetch a list of all conversations.
intercom-pp-cli conversations redact — You can redact a conversation part or the source message of a conversation (as seen in the source object).
intercom-pp-cli conversations retrieve — You can fetch the details of a single conversation.
intercom-pp-cli conversations search — You can search for multiple conversations by the value of their attributes in order to fetch exactly which ones you
intercom-pp-cli conversations update — You can update an existing conversation.

custom-object-instances — Everything about your Custom Object instances. {% admonition type="warning" name="Permission Requirements" %} From now on, to access this endpoint, you need additional permissions. Please head over to the Developer Hub app package authentication settings to configure the required permissions. {% /admonition %}

intercom-pp-cli custom-object-instances create — Create or update a custom object instance
intercom-pp-cli custom-object-instances delete-by-external-id — Delete a single Custom Object instance using the Intercom defined id.
intercom-pp-cli custom-object-instances delete-by-id — Delete a single Custom Object instance by external_id.
intercom-pp-cli custom-object-instances get-by-external-id — Fetch a Custom Object Instance by external_id.
intercom-pp-cli custom-object-instances get-by-id — Fetch a Custom Object Instance by id.

data-attributes — Everything about your Data Attributes

intercom-pp-cli data-attributes create — You can create a data attributes for a contact or a company.
intercom-pp-cli data-attributes lis — You can fetch a list of all data attributes belonging to a workspace for contacts, companies or conversations.
intercom-pp-cli data-attributes update — You can update a data attribute.

download — Manage download

intercom-pp-cli download <job_identifier> — When a job has a status of complete, and thus a filled download_url

events — Manage events

intercom-pp-cli events create-data — You will need an Access Token that has write permissions to send Events.
intercom-pp-cli events data-summaries — Create event summaries for a user.
intercom-pp-cli events lis-data — > 🚧 > > Please note that you can only 'list' events that are less than 90 days old.

help-center — Everything about your Help Center

intercom-pp-cli help-center create-collection — You can create a new collection by making a POST request to https://api.intercom.io/help_center/collections.
intercom-pp-cli help-center delete-collection — You can delete a single collection by making a DELETE request to https://api.intercom.io/collections/<id>.
intercom-pp-cli help-center list — You can list all Help Centers by making a GET request to https://api.intercom.io/help_center/help_centers.
intercom-pp-cli help-center list-all-collections — You can fetch a list of all collections by making a GET request to https://api.intercom.io/help_center/collections.
intercom-pp-cli help-center retrieve — You can fetch the details of a single Help Center by making a GET request to `https://api.intercom.
intercom-pp-cli help-center retrieve-collection — You can fetch the details of a single collection by making a GET request to `https://api.intercom.
intercom-pp-cli help-center update-collection — You can update the details of a single collection by making a PUT request to https://api.intercom.io/collections/<id>.

intercom-export — Manage intercom export

intercom-pp-cli intercom-export cancel-data — Cancel content data export
intercom-pp-cli intercom-export create-data — To create your export job, you need to send a POST request to the export endpoint `https://api.intercom.
intercom-pp-cli intercom-export get-data — You can view the status of your job by sending a GET request to the URL `https://api.intercom.

internal-articles — Everything about your Internal Articles

intercom-pp-cli internal-articles create — You can create a new internal article by making a POST request to https://api.intercom.io/internal_articles.
intercom-pp-cli internal-articles delete — You can delete a single internal article by making a DELETE request to https://api.intercom.io/internal_articles/<id>.
intercom-pp-cli internal-articles list — You can fetch a list of all internal articles by making a GET request to https://api.intercom.io/internal_articles.
intercom-pp-cli internal-articles retrieve — You can fetch the details of a single internal article by making a GET request to `https://api.intercom.
intercom-pp-cli internal-articles search — You can search for internal articles by making a GET request to https://api.intercom.io/internal_articles/search.
intercom-pp-cli internal-articles update — You can update the details of a single internal article by making a PUT request to `https://api.intercom.

me — Manage me

intercom-pp-cli me — You can view the currently authorised admin along with the embedded app object (a 'workspace' in legacy terminology).

messages — Everything about your messages

intercom-pp-cli messages — You can create a message that has been initiated by an admin.

news — Everything about your News

intercom-pp-cli news create-item — You can create a news item
intercom-pp-cli news delete-item — You can delete a single news item.
intercom-pp-cli news list-items — You can fetch a list of all news items
intercom-pp-cli news list-live-newsfeed-items — You can fetch a list of all news items that are live on a given newsfeed
intercom-pp-cli news list-newsfeeds — You can fetch a list of all newsfeeds
intercom-pp-cli news retrieve-item — You can fetch the details of a single news item.
intercom-pp-cli news retrieve-newsfeed — You can fetch the details of a single newsfeed
intercom-pp-cli news update-item — Update a news item

notes — Everything about your Notes

intercom-pp-cli notes <id> — You can fetch the details of a single note.

phone-call-redirects — Manage phone call redirects

intercom-pp-cli phone-call-redirects — You can use the API to deflect phone calls to the Intercom Messenger.

segments — Everything about your Segments

intercom-pp-cli segments list — You can fetch a list of all segments.
intercom-pp-cli segments retrieve — You can fetch the details of a single segment.

subscription-types — Everything about subscription types

intercom-pp-cli subscription-types — You can list all subscription types. A list of subscription type objects will be returned.

tags — Everything about tags

intercom-pp-cli tags create — You can use this endpoint to perform the following operations: **1.
intercom-pp-cli tags delete — You can delete the details of tags that are on the workspace by passing in the id.
intercom-pp-cli tags find — You can fetch the details of tags that are on the workspace by their id. This will return a tag object.
intercom-pp-cli tags list — You can fetch a list of all tags for a given workspace.

teams — Everything about your Teams

intercom-pp-cli teams list — This will return a list of team objects for the App.
intercom-pp-cli teams retrieve — You can fetch the details of a single team, containing an array of admins that belong to this team.

ticket-states — Everything about your ticket states

intercom-pp-cli ticket-states — You can get a list of all ticket states for a workspace.

ticket-types — Everything about your ticket types

intercom-pp-cli ticket-types create — You can create a new ticket type. > 📘 Creating ticket types.
intercom-pp-cli ticket-types get — You can fetch the details of a single ticket type.
intercom-pp-cli ticket-types list — You can get a list of all ticket types for a workspace.
intercom-pp-cli ticket-types update — You can update a ticket type. > 📘 Updating a ticket type.

tickets — Everything about your tickets

intercom-pp-cli tickets create — You can create a new ticket.
intercom-pp-cli tickets delete — {% admonition type='warning' name='Irreversible operation' %} Deleting a ticket is permanent and cannot be reversed.
intercom-pp-cli tickets get — You can fetch the details of a single ticket.
intercom-pp-cli tickets search — You can search for multiple tickets by the value of their attributes in order to fetch exactly which ones you want.
intercom-pp-cli tickets update — You can update a ticket.

visitors — Everything about your Visitors

intercom-pp-cli visitors convert — You can merge a Visitor to a Contact of role type lead or user. > 📘 What happens upon a visitor being converted?
intercom-pp-cli visitors retrieve-with-user-id — You can fetch the details of a single visitor.
intercom-pp-cli visitors update — Sending a PUT request to /visitors will result in an update of an existing Visitor. **Option 1.

Finding the right command

When you know what you want to do but not which command does it, ask the CLI directly:

intercom-pp-cli which "<capability in your own words>"

which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match — fall back to --help or use a narrower query.

Recipes

Tag every conversation mentioning an outage

intercom-pp-cli conversations incident-tag --mentions "checkout fails" --since 24h --tag incident-2026-05-24 --apply

Search server-side, dry-run by default, --apply fans out tag mutations through the adaptive limiter.

Find slow-response teams this week

intercom-pp-cli conversations sla --group-by team --metric first-response,resolution --since 7d --agent --select team,first_response_p50_minutes,resolution_p90_hours

Local SQL over conversations + parts; --select narrows the nested payload so agents don't burn context.

Pull every help-center article into a git-managed tree

intercom-pp-cli articles pull --to ./articles/

Each article lands as <id>-<slug>.<locale>.md with YAML frontmatter; commit the directory to git, edit locally, then run intercom-pp-cli articles push --from ./articles/ to sync diffs back.

Resolve a contact before triaging

intercom-pp-cli contact 360 mei@example.com --agent --select contact.id,companies,open_conversations,recent_tickets

Joins five entities locally; replaces 4-6 separate API calls and removes the agent's need to template Intercom's nested search predicate.

List conversations updated this week with --select to keep payload small

intercom-pp-cli conversations list --agent --select conversations.id,conversations.state,conversations.assignee.id,conversations.tags.id,conversations.title

Generated endpoint mirror; --select uses dotted paths to walk Intercom's nested envelope so agents don't load 30 KB per conversation.

Auth Setup

Intercom uses Bearer access tokens (PAT-style). Export INTERCOM_ACCESS_TOKEN or run intercom-pp-cli auth set-token "<token>" to save it to your config. The CLI pins the Intercom-Version: 2.13 header on every request. Tokens are workspace-scoped; pick the right region with --region us|eu|au or INTERCOM_REGION.

Run intercom-pp-cli doctor to verify setup.

Agent Mode

Add --agent to any command. Expands to: --json --compact --no-input --no-color --yes.

Pipeable — JSON on stdout, errors on stderr
Filterable — --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:
```
intercom-pp-cli admins list --agent --select id,name,status
```
Previewable — --dry-run shows the request without sending
Offline-friendly — sync/search commands can use the local SQLite store when available
Non-interactive — never prompts, every input is a flag
Explicit retries — use --idempotent only when an already-existing create should count as success, and use --ignore-missing only when a missing delete target should count as success

Response envelope

Commands that read from the local store or the API wrap output in a provenance envelope:

{
  "meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
  "results": <data>
}

Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set — piped/agent consumers and explicit-format runs get pure JSON on stdout.

Paths and state

Agents should treat the CLI's path resolver as part of the runtime contract:

Use --home <dir> for one invocation, or set INTERCOM_HOME=<dir> to relocate all four path kinds under one root.
Use per-kind env vars only when a specific kind must diverge: INTERCOM_CONFIG_DIR, INTERCOM_DATA_DIR, INTERCOM_STATE_DIR, INTERCOM_CACHE_DIR.
Resolution order is per-kind env var, --home, INTERCOM_HOME, XDG (XDG_CONFIG_HOME, XDG_DATA_HOME, XDG_STATE_HOME, XDG_CACHE_HOME), then platform defaults.
config contains settings like config.toml and profiles. data contains credentials.toml, data.db, cookies, and auth sidecars. state contains persisted queries, jobs, and teach.log. cache contains regenerable HTTP/cache files.
Stored secrets live in credentials.toml under the data dir. Existing legacy config.toml secrets are read for compatibility and leave config.toml on the first auth write.
Run intercom-pp-cli doctor --fail-on warn to surface path and credential-location warnings. agent-context exposes a schema v4 paths block for agents that need the resolved dirs.

For MCP, pass relocation through the MCP host config. The MCP binary does not inherit CLI flags:

{
  "mcpServers": {
    "intercom": {
      "command": "intercom-pp-mcp",
      "env": {
        "INTERCOM_HOME": "/srv/intercom"
      }
    }
  }
}

Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use INTERCOM_HOME or per-kind vars as durable fleet levers, and use --home only for a single invocation. Relocation is not reversible by unsetting env vars; move files manually before clearing INTERCOM_HOME, or doctor will not find credentials left under the former root.

Automatic learning

This CLI ships a self-capturing learning loop. The CLI does its own bookkeeping: every invocation is journaled locally, a failed flag followed by a corrected retry auto-derives a flag_alias candidate, and a teach on a query family without a playbook auto-synthesizes a playbook_candidate from the session's journal. Your job is judgment only: recall first, act on surfaced candidates, teach the final answer, playbook amend when you observe a correction. You never record failures by hand.

Step 1: `recall` before any discovery

Before list/search/drill commands on a new user question, run:

intercom-pp-cli recall "<user's question>" --agent

The response envelope:

{
  "query": "...",
  "normalized": "<normalized form>",
  "query_entities": ["..."],
  "found": true | false,
  "match_score": 0.0,
  "results": [
    { "resource_id": "...", "resource_type": "...", "venue": "...",
      "confidence": 2, "entity_match": "exact|partial|unknown",
      "source": "taught|preseed|pattern", "warnings": ["..."] }
  ],
  "mismatches": [ /* only when --debug-mismatches */ ],
  "warnings": [ /* top-level */ ],
  "candidates": [
    { "id": 12, "class": "flag_alias | playbook_candidate",
      "summary": "...", "sightings": 3, "last_seen": "...",
      "rationale": "...",
      "next_action": ["<trial command>", "intercom-pp-cli learnings confirm 12"] }
  ],
  "playbook": {
    "query_family": "...",
    "playbook": {
      "steps": [ { "cmd": "<command with {slot} substitution>", "purpose": "..." } ],
      "entity_slots": ["$ENTITY"],
      "expected_tool_calls": 3
    },
    "slots_resolved": { "$ENTITY": { "token": "<live token>", "canonical": "<canonical>" } },
    "notes": "<workarounds + gotchas for this query family>"
  },
  "notes": "<duplicate surface for non-playbook callers>"
}

Empty-store short-circuit: if the store has no learnings, playbooks, or candidates yet (recall finds nothing and learnings list and learnings candidates are both empty), skip recall for the rest of this session instead of taxing every query; resume recall-first once something has been taught.

Step 2: decision tree

Read candidates, playbook, notes, results[0], and warnings in that order:

if Candidates present (warnings include "candidates_present"):
    -> candidates are try-then-confirm, never facts. Follow each candidate's
       two-step next_action verbatim: run the trial command first, then run
       `learnings confirm <id>` only after the trial verified the behavior.
       Reject a wrong candidate with `learnings reject <id>`.
    -> NEVER re-teach something recall surfaced as a candidate; confirm or
       reject that candidate instead of teaching a duplicate.
    -> candidates ride alongside playbooks and resource hits, not instead of
       them; continue with the branches below after acting on them.

if Playbook present:
    -> READ Playbook.notes verbatim FIRST (workarounds + gotchas the CLI surface doesn't expose)
    -> replay Playbook.steps in order, substituting Playbook.slots_resolved entries
       for the entity slot tokens. If a step's slot is unresolved, fall back to
       discovery for that step only.
    -> the Playbook's expected_tool_calls is a budget; if you find yourself running
       materially more, record the divergence via `intercom-pp-cli playbook amend`
       at end-of-session.

elif Notes present (no Playbook):
    -> read Notes verbatim before any discovery step; they carry known gotchas
       for this query family even when no structured choreography exists yet.

elif Found AND Results[0].EntityMatch == "exact" AND Results[0].Confidence >= 2:
    -> skip discovery; fetch live data for Results[*].ResourceID in parallel

elif Found AND Results[0].EntityMatch == "partial":
    -> candidate hint, NOT a hit; read the resource title to validate before trusting

elif (any row in Mismatches[] when --debug-mismatches was passed):
    -> treat as cold start; the stored learning is for a different entity
       (different canonical resolved from query_entities)

else:  // Found == false, no playbook, no notes
    -> cold start; run discovery normally; teach the answer afterward (Step 4).
       If the family has no playbook yet, that teach auto-synthesizes a
       playbook candidate from this session's journal - you do not need to
       record one by hand.

Playbook and Notes are orthogonal to the per-resource path. A recall response can carry both a Playbook AND a Results[] hit - use both: the Playbook tells you which choreography to run; the resource hits short-circuit specific steps. Default to skipping mismatches; pass --debug-mismatches only when investigating cold-start surprises.

Candidate judgment details: learnings confirm <id> prints the candidate's full payload before materializing it - check that the printed payload matches the behavior you verified. learnings reject <id> tombstones the derivation signature so the same candidate does not resurface. The envelope carries only the few candidates worth acting on now; intercom-pp-cli learnings candidates lists the full open set.

Graceful degradation: if learnings confirm is an unknown command, you are driving an older binary - ignore the candidates guidance and follow the rest of the protocol.

Step 3: always read `warnings`

low_confidence: row exists at confidence<2. Treat as a hint, not a skip-discovery hit.
resource_not_in_store: the local store doesn't have the resource the learning points at. The match validator couldn't classify entities — direct-fetch and re-evaluate.
cross_alias_match (per-result): the row was taught under a different alias and matched the live query's canonical via entity_lookups (e.g., a "USA" teach satisfying a "United States" recall). Trust the resource_id.
similar_shape_different_entity:<canonical> (top-level): a structurally matching row exists but its canonical entity differs from the live query's. Treated as cold start; the warning carries the conflicting canonical as a hint, but the row is NOT promoted into Results.
ambiguous_alias (top-level): a single query entity resolved to multiple canonicals (e.g., "Cards" → Arizona Cardinals + St. Louis Cardinals). Surface the ambiguity from context before committing to a resource.
candidates_present (top-level): the envelope carries a candidates section. Handle it via the candidates branch in Step 2 before anything else.
lookup_refresh_available (top-level): an entity in the query has no lookup row yet, but synced data could provide one. Run intercom-pp-cli sync to refresh entity lookups.
Top-level no_learnings_for_query_family: the table had no rows above the Jaccard floor. Pure cold start.

Step 4: `teach &` after finalizing your response - always

Teaching is unconditional. After resolving a query the store could not answer, background-teach the final resource mapping - no call-count threshold, no judging whether it was "worth" learning. The teach is the anchor of the loop: it triggers playbook synthesis for a family without a playbook, and same-referent phrasings fold into one family so near-duplicate teaches do not fragment the store. Fire it after assembling your user-facing response but BEFORE emitting it, with a shell & so the call returns immediately:

intercom-pp-cli teach --query "<user's question>" --resource-type <type> --resource <id1> --resource <id2>
# (append shell `&` to background it)

Silent on success. Errors only land in teach.log under the resolved state dir. Teach the most specific resource - if the user asked a broad question and you walked through parent records to find the specific answer, teach the leaf id, not the parent. The CLI uses seeded entity_lookups for cross-alias resolution at recall time, so a teach under one alias (e.g., "Niners") satisfies future queries under another alias (e.g., "49ers", "San Francisco") automatically.

PII rule: teach the structural question with identifiers stripped - never include names, emails, phone numbers, account ids, or other personal identifiers in taught queries or notes. The CLI scans teach queries for obvious email/phone shapes and warns, but does not block; strip before teaching rather than relying on the warning.

Step 5: playbooks - optional flags, automatic synthesis

You do not need to decide whether a session "deserves" a playbook: a teach on a family without one auto-synthesizes a playbook_candidate from the session's journal, and the next session judges it via confirm/reject. Attach explicit playbook flags only when you already hold choreography worth recording verbatim - workarounds the CLI didn't surface (silently-dropped flags, undocumented params, pagination tricks, payload gotchas). Prefer the integrated one-call form - record the resource learning and the playbook in the same teach invocation:

# Common case: record both the resource learning AND the playbook in one call.
intercom-pp-cli teach \
  --query "<user's question>" \
  --resource <id> \
  --playbook-file ~/playbooks/<shape>.json \
  --playbook-notes-file ~/playbooks/<shape>-notes.md
# (append shell `&` to background it)

# Alternate: playbook-only (no resource to record alongside).
intercom-pp-cli teach-playbook \
  --query "<user's question>" \
  --playbook-file ~/playbooks/<shape>.json \
  --notes-file ~/playbooks/<shape>-notes.md

Playbook files are JSON with steps, entity_slots, expected_tool_calls. Notes files are markdown carrying the gotchas verbatim. File-free callers (MCP-only agents) pass the same content inline: --playbook-json and --playbook-notes on the integrated teach form, --playbook-json and --notes on teach-playbook. On the integrated teach form, the playbook flags are optional - omit them entirely for a resource-only teach. On the standalone teach-playbook form, at least one of the playbook and notes flags must be set; both empty is rejected. Playbooks are keyed on the structural query family (entities stripped) so a recipe taught from one entity-shaped query applies to every other query of the same shape, with slots_resolved binding the live query's canonical at recall time.

When you DO find a playbook on a future recall, treat it as ground truth: replay the steps with slots_resolved substitutions, skip the discovery that the choreography already documents, and read notes before any step.

Step 6: `playbook amend &` when your debug response identifies a correction

If your debug-protocol response identifies a concrete correction the notes or playbook should know — a workaround, an undocumented endpoint shape, a stale field name, observed schema drift, an empty-payload fallback — fire playbook amend BEFORE emitting your user-facing response. Same fire-and-forget posture as teach.

intercom-pp-cli playbook amend \
  --query "<exact recall query string>" \
  --add-note "<your concrete correction>"
# (append shell `&` to background it)

What counts as worth amending: a behavior you OBSERVED this session that future-you would benefit from knowing. Examples worth amending:

A workaround for a CLI surface that silently drops or misorders a flag.
An undocumented endpoint shape (response wrapped in {meta, results}, payload nested two levels deeper than the docs claim).
Observed schema drift (a field renamed, an index that shifted between seasons, a category label that the API now returns lower-cased).

What does NOT belong in notes:

The year-specific or entity-specific answer to the user's question. That's the response, not a learning.
Per-team / per-athlete / per-row data the playbook already retrieves at runtime.
Statements that paraphrase what the existing notes already say.

The amend command appends to the family's existing notes with a timestamped marker ([amend YYYY-MM-DDTHH:MMZ]: <text>). Multiple amends accumulate; the audit trail is visible. If no playbook exists yet for the family, amend creates a notes-only one (so cold-start corrections still land).

PII discipline for amend notes

playbook amend notes are designed to potentially flow upstream as shared knowledge in future versions of the Printing Press. Keep them clean of user-identifying content so the upstream-contribution path stays open without retroactive scrubbing:

Do NOT embed paths to user filesystems, personal API keys or tokens, user email addresses, user GitHub handles, or specific query histories tied to a single user.
Acceptable: endpoint shapes, undocumented field names, API gotchas, observed schema drift, workarounds for CLI surfaces, generalizable pagination or retry tactics.

If a correction is only meaningful with user-specific context, it belongs in a personal note, not in the playbook amend.

Measuring the loop

intercom-pp-cli learnings stats reports recall hit rate, teach-to-reuse, playbook resolution rate, and candidate confirm/reject counts from the local learn_events table. Rates are null until they have a denominator; everything stays on this machine. Use it to check whether the loop is earning its keep for this CLI.

Disabling learning

--no-learn on a single command short-circuits both recall and the teach write path. Use for deterministic agent flows or tests that must not be affected by accumulated learnings.
INTERCOM_NO_LEARN=true in the environment globally disables the pipeline.

Agent Feedback

When you (or the agent) notice something off about this CLI, record it:

intercom-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
intercom-pp-cli feedback --stdin < notes.txt
intercom-pp-cli feedback list --json --limit 10

Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless INTERCOM_FEEDBACK_ENDPOINT is set AND either --send is passed or INTERCOM_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.

Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.

Output Delivery

Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:

Sink	Effect
`stdout`	Default; write to stdout only
`file:<path>`	Atomically write output to `<path>` (tmp + rename)
`webhook:<url>`	POST the output body to the URL (`application/json` or `application/x-ndjson` when `--compact`)

Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.

Named Profiles

A profile is a saved set of flag values, reused across invocations. Use it when a scheduled or recurring agent reuses the same saved flags while providing different input each run.

intercom-pp-cli profile save briefing --json
intercom-pp-cli --profile briefing admins list
intercom-pp-cli profile list --json
intercom-pp-cli profile show briefing
intercom-pp-cli profile delete briefing --yes

Explicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.

Exit Codes

Code	Meaning
0	Success
2	Usage error (wrong arguments)
3	Resource not found
4	Authentication required
5	API error (upstream issue)
7	Rate limited (wait and retry)
10	Config error

Argument Parsing

Parse $ARGUMENTS:

Empty, help, or --help → show intercom-pp-cli --help output
Starts with install → ends with mcp → MCP installation; otherwise → see Prerequisites above
Anything else → Direct Use (execute as CLI command with --agent)

MCP Server Installation

Install the MCP server:

go install github.com/mvanhorn/printing-press-library/library/sales-and-crm/intercom/cmd/intercom-pp-mcp@latest

claude mcp add intercom-pp-mcp -- intercom-pp-mcp

Verify: claude mcp list

Direct Use

Check if installed: which intercom-pp-cli If not found, offer to install (see Prerequisites at the top of this skill).
Match the user query to the best command from the Unique Capabilities and Command Reference above.

Execute with the --agent flag:

intercom-pp-cli <command> [subcommand] [args] --agent

If ambiguous, drill into subcommand help: intercom-pp-cli <command> --help.