elevate

Elevate

Explore the current project deeply, then answer:

What are the highest-leverage architectural, framework, tooling, or DX improvements you could make to this project right now?

Produce a ranked list of 5–10 opportunities with a scoring matrix. The technical twin of innovate (which asks for product moves).

Focus argument

The skill accepts an optional free-form focus string (e.g., feedback-loop, developer experience, build speed, testing, observability, CI pipeline).

• No focus: survey all four dimensions (architecture, libraries, tooling, DX/infra).
• With focus: interpret the string, map it to relevant dimensions, and return only opportunities that match. Do not include off-focus candidates, even if they look higher-leverage.

Process

1. Read the project. CLAUDE.md, README, key config (package.json, tsconfig, build configs, lockfiles, CI workflows).

2. Discover ADRs and architectural rules. Check in order:

   • docs/adr/, docs/adrs/, docs/architecture/decisions/, adr/, adrs/
   • .claude/rules/ (architectural guidelines stored as rules)
   • If none found, grep for ADR- or # Architecture Decision to catch non-standard layouts. Parse each ADR/rule to extract what it prescribes or forbids.

3. Skim for friction. Recent git history, hot-path code, repeated workarounds, slow builds, awkward patterns, stale deps, TODOs.

4. Generate candidates across four dimensions:

   • Architecture — layering, module boundaries, data flow, state shape
   • Libraries & frameworks — outdated/deprecated deps, better alternatives, version bumps
   • Build & tooling — bundler, compiler, package manager, monorepo structure, CI/CD, type system
   • DX & infrastructure — testing strategy, observability, logging, error tracking, feature flags, local dev

5. Apply focus filter if a focus argument was given. Drop non-matching candidates.

6. Check each candidate against ADRs/rules. If a candidate contradicts an ADR, keep it in the matrix but flag it as ADR-blocked and de-rank it (it is not actionable without revisiting the ADR first). 6.5. Check prior attempts via devsql. For each candidate, search this project's Claude/Codex history and git commits for prior work on the same topic. Derive 2+ keywords from the candidate, scope to the current project (history.project = '<cwd>'), and read the matching prompts/commits before classifying — a keyword hit is not proof. See the devsql-querying skill for table shapes and the standard datetime(timestamp/1000,'unixepoch') conversion.

   Take the date into account. A candidate that failed 6+ months ago due to missing prerequisites, tool gaps, or excessive effort may be viable today. Do not let a stale failure kill a currently-viable candidate.

   Classify each candidate's prior-attempt state and tag it:

   • shipped — matching commits present and not reverted → drop the candidate (already done)
   • reverted-recent (<3 months) — Confidence=Low, Notes cite revert SHA + likely reason
   • reverted-stale (≥6 months) — Keep original Confidence, Notes call out the prior attempt and ask the user whether the blocker still applies before committing to the score
   • struggled — many prompts on the topic with zero commits → Confidence=Low, Notes cite the prompt-day
   • deferred — prompts discussing it but no attempt → Notes surface prior rationale, no scoring change
   • none — normal scoring

   If devsql is unavailable or the project has no history rows, print Prior-attempt history: unavailable above the matrix and skip this step.

7. Score each surviving candidate on four axes (see below).

8. Surface load-bearing assumptions. For each candidate, list the 1–3 assumptions the Impact and Effort scores depend on. Classify each:

   • [verified] — the assumption is self-evident from code/config already read (cite file:line or a specific snippet). Treat as verified.
   • [probe:feasibility] — confirms the change is technically viable on this codebase (tool parity, plugin compat, known edge cases, semantic gaps between alternatives). Failure of a feasibility probe kills the candidate, regardless of impact.
   • [probe:impact] — confirms the magnitude of the gain (wallclock, bundle size, error rate, contributor time saved).
   • [unverifiable] — needs infra or prod data the skill can't touch (prod error rate, CI minutes). Keep, but mark.

   For each [probe:*], specify a concrete, cheap command or measurement the user can run in under ~10 min to confirm. Examples: minimal repro file compiled with both tools to diff output, turbo run <task> --dry=json | jq '...' to tell real work from no-ops, hyperfine for wallclock, du -sh node_modules/.cache for cache plausibility, rg -c <pattern> for call-site counts, reading one file the skill hasn't yet read.

   Feasibility-first rule: if a [probe:feasibility] exists and runs in <10 min, surface it as the first probe to run for that candidate. Its result can kill the candidate before any impact measurement is worth doing.

   Do not auto-run probes. The skill suggests; the user decides whether to execute. Any candidate with an unverified [probe:*] or [unverifiable] assumption driving an L/XL Impact or S Effort score must be scored Confidence = Low, regardless of how strong the structural signal looks. Keep it in the matrix; don't cap its Impact — let Confidence do the demotion.

9. Rank by composite ROI signal. Trim to the 5–10 strongest. Fewer is fine for small/pristine codebases; more is fine for messy ones — let signal decide.

10. Output the matrix and per-opportunity details. For the top 3 candidates, include a Cheapest kill-switch line: the single fastest test that invalidates the candidate if it fails. This is usually the [probe:feasibility] already listed, restated as the literal first thing to run.

11. Ask which row(s) the user wants expanded into implementation steps. Do not auto-expand.

Scoring scale

Use T-shirt sizes — honest about the estimation involved, no false precision.

Axis	Scale	Meaning
Impact	S / M / L / XL	Pain removed or velocity unlocked, measured as user-observable outcome (wallclock, error rate, contributor time saved). Structural proxies alone — DAG edges removed, files touched, lines deleted, tasks in a graph — are not Impact; if only a proxy is available, Confidence caps at Low.
Effort	S / M / L / XL	Rough engineering cost (hours → weeks). Includes both implementation AND validation cost. A 10-line config change that touches a surface of 300+ files (call sites, decorators, schemas) cannot be S — the validation tail dominates. Estimate the real "until I trust it shipped" cost, not just the diff size.
Risk	Low / Med / High	Blast radius + reversibility
Confidence	Low / Med / High	How sure the skill is about Impact and Effort given codebase signals. Any unverified [probe:*] or [unverifiable] assumption behind an L/XL Impact or S Effort forces this to Low.

Ranking heuristic: favor high Impact + low Effort + low Risk + high Confidence. ADR-blocked candidates sink to the bottom. Candidates with unverified load-bearing assumptions sink via Confidence=Low, even if their structural signal looks XL — this is intentional, and prevents proxy-driven overestimates from topping the list.

Scope — explicitly refuse to propose

• Pure code cleanup — dead code, renames, file splits belong to simplify / code-slop / quality-gate
• Single-bug fixes — if it's scoped to one bug, it isn't an architectural leap
• Feature additions — product capabilities are innovate's turf
• Speculative rewrites — no "rewrite in Rust" or "migrate to microservices" unless the codebase genuinely demands it; bias toward proven, reversible changes

Output shape

# Elevate — <focus area or "full audit">

ADRs consulted: <list of ADR files / rules found, or "none found">

## Ranking matrix

| # | Opportunity | Impact | Effort | Risk | Confidence | Prior | Probes | Notes |
|---|---|---|---|---|---|---|---|---|
| 1 | <name> | L | S | Low | High | none | ok | |
| 2 | <name> | XL | M | Med | Low | reverted-stale | 2 pending (1 feasibility) | prior attempt 2024-08 (sha1234) — check if blocker still applies; unverified `[probe:feasibility]` gates XL |
| … |
| N | <name> | M | S | Low | Low | none | ok | ⚠️ ADR-blocked (ADR-0012) |

`Prior` column values: `none / reverted-recent / reverted-stale / struggled / deferred`. `shipped` candidates are dropped, not listed. When the column is omitted entirely, `Prior-attempt history: unavailable` must be printed above the matrix.

`Probes` column: `ok` when every load-bearing assumption is `[verified]`; otherwise `<N> pending` where N counts outstanding `[probe:*]` / `[unverifiable]` entries. If any pending probe is `feasibility`, call it out: `<N> pending (<M> feasibility)`.

## Opportunities

### 1. <Opportunity name>
**Problem:** <real friction visible in the code/stack>
**Change:** <what to do, concretely>
**Impact:** <what this unlocks, in user-observable terms>
**Risk:** <what could go wrong; reversibility>
**Migration path:** <incremental steps, not big-bang>
**Evidence:** <file paths, git signals, hot-paths that motivated this>
**Assumptions & probes:**
- `[verified]` <assumption> — <file:line or reasoning already in context>
- `[probe:feasibility]` <assumption> — run: `<command>` → expect `<signal>` to confirm; failure kills the candidate
- `[probe:impact]` <assumption> — run: `<command>` → expect `<signal>` to confirm magnitude
- `[unverifiable]` <assumption> — <why it can't be checked now>
**Cheapest kill-switch:** <single command/test, <10 min, that invalidates the candidate if it fails> *(top 3 only)*

### 2. …

### N. <ADR-blocked opportunity>
**Problem:** <…>
**Change:** <…>
**ADR conflict:** Contradicts `<ADR path / title>` which states "<quoted directive>". Not actionable without revisiting that decision.
**Evidence:** <…>

After the matrix and details, ask:

Which opportunities would you like expanded into implementation steps?

Do not auto-generate implementation steps. Wait for the user to pick.