SuperAPI AI Directory

meditation

General & other

View repository

Updated 10-15 21:40

About this skill

Meditation Skill

Domain knowledge for guided knowledge consolidation sessions.

When to Use

  • User says "meditate", "consolidate", or "reflect"
  • After learning sessions to persist insights
  • When working memory feels overloaded (7+ unrecorded insights)
  • After breakthroughs that need permanent storage

Meditation as Foundational Ritual

Meditation is the primary cognitive ritual. All other rituals are subordinate:

Ritual Relationship to Meditation
Dream Diagnostic tool — chains after meditation sometimes
Self-Actualize Deep meditation — monthly, includes Dream baseline first

Dream Chaining

After completing the 5 R's, optionally trigger a Dream diagnostic when:

  • Architecture files were created or modified during this meditation
  • Trifecta concerns surfaced during the session
  • Last dream was >7 days ago
  • Random (~1 in 5 meditations)

Dream produces the diagnostic report; meditation decides what to fix.

Consuming Dream Findings

The inverse handoff also exists: a meditation may open by reading an existing dream-report.json and using it to focus the session. See dream-state/SKILL.md §Escalation for the finding→resolution mapping. This pattern replaces the former lucid-dream ritual (retired v8.4.0).

The 5 R's — Facilitation Framework

Review → Relate → Reinforce → Record → Resolve. The first four discover and persist; Resolve closes the meditation explicitly so the user knows what was saved and whether a dream follows.

Review — What happened?

  • List concrete actions (files created, bugs fixed, features added)
  • Identify surprising discoveries or unexpected connections
  • Note what was harder or easier than expected
  • If the review is all "I did X" with no reflection, it's too shallow

Relate — How does this connect?

  • Which existing skills/instructions does this touch?
  • Cross-project patterns? → /memories/ candidate
  • Gaps revealed in the architecture?
  • At least one connection, or explicitly note "isolated learning"

Reinforce — What's worth keeping?

Signal Keep? Where
"I'll forget this by next week" Yes .instructions.md or SKILL.md
"This was non-obvious" Yes /memories/ or /memories/repo/
"I keep rediscovering this" Definitely .instructions.md (procedural)
"This was specific to today" No Session memory only
"Everyone knows this" No Don't store

Record — Persist to the right place

Type Location
Repeatable process .github/instructions/*.instructions.md
Domain expertise .github/skills/*/SKILL.md
Workflow template .github/prompts/*.prompt.md
Cross-project pattern /memories/ (user memory)
Repo-specific fact /memories/repo/ (repo memory)
Active multi-session task /memories/session/ (conversation-scoped)
Long-term chronicle entry .github/episodic/meditation-YYYY-MM-DD-{topic}.md

Episodic Memory (chronicle log)

.github/episodic/ is the project's long-term meditation/dream chronicle. Write an entry when:

  • The meditation produced multiple insights worth narrating in one place
  • The session marks a phase transition (project pivot, breakthrough, completed milestone)
  • A dream chained from this meditation (save as dream-report-YYYY-MM-DD.md)

File naming:

  • meditation-YYYY-MM-DD-{topic-slug}.md — meditation chronicle
  • dream-report-YYYY-MM-DD.md — dream diagnostic output
  • chronicle-YYYY-MM-DD-{name}.md — major milestone narrative

If .github/episodic/ does not exist, create it. The folder is heir-portable.

Distinction from /memories/session/: episodic = permanent, project-scoped narrative; session = ephemeral, conversation-scoped state.

Welcome Experience Check (optional, during Record)

After recording insights, assess whether the welcome experience still fits:

Question If drifted Config to update
Do taglines still reflect the project direction? Regenerate .github/config/taglines.json
Does the loop menu match actual workflows? Add/remove groups .github/config/loop-menu.json
Has the project phase changed? Update phase loop-menu.json → projectPhase
Is the identity/persona still accurate? Revise identity layer .github/copilot-instructions.md
Does the North Star still inspire? Refresh vision NORTH-STAR.md

Trigger: Run this check when meditation surfaces project evolution, phase transitions, or domain pivots. Use the welcome-experience-customization skill for the full workflow.

Heir fallback: If taglines.json or loop-menu.json does not exist, skip this check — the project hasn't run welcome customization yet. Suggest it only if the user explicitly asks about welcome experience.

Resolve — Close the meditation

The 5th R closes the loop. Without it, meditations end ambiguously and the user is left wondering "did anything get saved?"

Required close steps:

  1. Summarize persisted artifacts — list each file written/modified in this meditation, one line each:

    Persisted:
    - .github/instructions/foo.instructions.md (new — captures X pattern)
    - /memories/patterns.md (added Y rule)
    - .github/episodic/meditation-2026-04-25-bar.md (chronicle)
    
  2. Evaluate dream chaining — explicitly check the criteria (see Dream Chaining section above):

    • Architecture files modified? → favor chaining
    • Trifecta concerns surfaced? → favor chaining
    • Last dream >7 days ago (or never)? → favor chaining
    • Heir fallback: if .github/quality/dream-report.json does not exist, treat as never-dreamed (overdue). The file is created on first /dream run.

    State the verdict: "Chaining a dream now" / "Skipping dream — none of the criteria fired" / "Bookmarking dream for later".

  3. One-line session summary — close with what changed: "Meditation persisted 3 insights across 2 surfaces; no dream needed."

After Resolve, the meditation is complete. Do not continue probing.

Facilitation Techniques

Socratic Probing

Don't just list — ask why it matters:

  • "What would you do differently next time?"
  • "Is this a one-time fix or a recurring pattern?"
  • "If you saw this in another project, would you recognize it?"

Diminishing Returns

Signal Action
Repeating the same insight differently Move on
No new connections after 3 attempts Close topic
User energy dropping Wrap up with quick record
Tangent detected Bookmark for separate session

Depth Calibration

  • Too shallow: "I learned about testing" → probe for specifics
  • Right depth: "Property-based testing caught an edge case our unit tests missed because..."
  • Too deep: 30 minutes on one function → zoom out to pattern level

Snapshot Muscle (meditation-snapshot.cjs)

Path B (v8.4.0): chronicle files in .github/episodic/meditation-YYYY-MM-DD-*.md are the canonical record of when meditation last happened. The meditation-snapshot.cjs muscle scans them, derives the date from each filename (mtimes are unreliable across bulk git operations), and writes .github/quality/meditation-snapshot.json.

session-start.cjs reads this snapshot to decide whether to surface the "meditation overdue" nag — replacing the hand-edited cogConfig.lastMeditation field, which is now a fallback only.

Field Source
lastMeditation YYYY-MM-DD from newest matching filename
lastMeditationFile Workspace-relative path
daysSinceLastMeditation Computed from lastMeditation
overdue daysSinceLastMeditation >= 7
chronicleCount Total matching chronicles
cadence.last30Days / last90Days Trailing-window counts
pruneThreshold 60 (D17)

Run after authoring a new chronicle:

node .github/muscles/meditation-snapshot.cjs

The muscle prunes the episodic directory to the newest 60 chronicles (FIFO) on each non---json run. Older chronicles remain in git history; meditation's job is to produce new insight, not to curate the archive.

Bookkeeping Surfaces

Four config files reference meditation as their lifecycle owner. The current honest state (v8.4.0):

File Claim Status
.github/config/assignment-log.json "Meditation analyzes for routing patterns" AFCP feature; pruning not yet automated. Manually inspect during meditation when the log has entries.
.github/config/knowledge-artifacts.json "Meditation prunes artifacts older than 90 days with confidence < 0.5" Future trifecta — see PLAN-meditation-ritual-refactor.md. Manually curate during meditation for now.
.github/config/unknowns.json "Unknowns with state=resolved are pruned during meditation" Manual curation during meditation. No automated pruning today.
.github/config/session-metrics.json "Session tracking for meditation analysis" Gitignored local file; analyze in-session if useful.

When meditating, scan these files only if they are non-empty.