| name | improve-phase-1-collect-gather-session-signals |
| description | Sub-skill of improve: Phase 1: COLLECT — Gather Session Signals (+6). |
| version | 1.4.0 |
| category | workspace-hub |
| type | reference |
| scripts_exempt | true |
Phase 1: COLLECT — Gather Session Signals (+6)
Phase 1: COLLECT — Gather Session Signals
Scan these data sources for improvement candidates:
.claude/state/pending-reviews/memory-updates.jsonl — memory candidates.claude/state/pending-reviews/insights.jsonl — insight candidates.claude/state/pending-reviews/errors.jsonl — error patterns.claude/state/pending-reviews/skill-candidates.jsonl — skill gaps.claude/state/corrections/.recent_edits — correction patterns.claude/state/accumulator.json — aggregated metrics.claude/state/patterns/ — patterns from /reflect.claude/state/pending-reviews/ecosystem-review.jsonl — ecosystem health signals (from stop hook)- Current session context — what was learned in THIS session
Phase 2: CLASSIFY — Route Improvements to Targets
| Signal Type | Target | Example |
|---|
| Institutional knowledge | .claude/memory/KNOWLEDGE.md | "OrcaWave .frequencies returns Hz" |
| Domain-specific lesson | .claude/memory/<topic>.md | "AQWA needs QPPL DIFF for diffraction" |
| Repeated correction | .claude/rules/*.md | "Always validate freq order" |
| Skill gap / new capability | .claude/skills/**/ (create) | "No skill for PDF table extraction" |
| Skill correction | .claude/skills/**/ (enhance) | "Polars skill missing lazy frame pattern" |
| Underperforming skill | .claude/skills/**/ (deprecate) | "Skill never used in 90 days, superseded" |
| Cross-session pattern | CLAUDE.md Core Rules | "Batch operations reduce errors" |
| Resource drift | CLAUDE.md Resource Index | "New agent in agents/devops/" |
| Documentation gap | .claude/docs/ | "Orchestrator pattern needs update" |
| Ecosystem health signal | Phase 3 review queue | "Skill sprawl: 350+ active skills" |
| Memory bloat signal | Phase 3 review queue | "MEMORY.md exceeds 200 lines" |
Phase 3: ECOSYSTEM REVIEW — Structural Health Assessment
Assess the overall health of ecosystem files and recommend reallocation. This phase is fed by signals from the ecosystem-health-check.sh stop hook AND by scanning the filesystem directly.
Data sources:
.claude/state/pending-reviews/ecosystem-review.jsonl — automated health check signals- Direct filesystem scan of
.claude/skills/, .claude/memory/, .claude/rules/
Checks performed:
| Check | Signal | Action |
|---|
| Stale skills | No session usage in 90+ days (via last_used in frontmatter) | Flag for deprecation review |
| Index quality | Skills missing capabilities:, tags:, or related: frontmatter | Flag for metadata enrichment |
| Skill overlap | 2+ skills with >70% description similarity | Flag for consolidation |
| Memory bloat | Any .md >200 lines | Recommend split into topic files |
| Memory overlap | Same topic in repo + user memory | Recommend single source of truth |
| Thin categories | Category with only 1 skill | Consider merging into parent |
| Stale signals | >50 unprocessed signals in pending-reviews/ | Warn about signal backlog |
| Stub micro-skills | Stage micro-skill file < 15 lines | Flag as enhancement candidate — stubs provide no guidance at stage entry |
Note on raw count thresholds: Total skill count and per-category count limits
(previously 350/50) have been removed. A large, well-indexed skill library is not
a problem — stale and unreferenced skills are. Staleness detection requires the
knowledge graph (WRK-205: SKILLS_GRAPH.yaml + capabilities:/requires:/see_also:
frontmatter) to be effectively maintained. If the index is sparse, staleness signals
will be noisy — assess index quality first.
Knowledge graph maintenance (when SKILLS_GRAPH.yaml exists — WRK-205):
- For any skill created or enhanced this session: verify it appears in
SKILLS_GRAPH.yaml
- For any new relationship surfaced (A composes B, A requires B, A is alternative to B): add edge to graph
- For each new/enhanced skill: check that existing related skills have it in their
related_skills: frontmatter (bidirectional linking); add missing links
- Update
last_used timestamp in frontmatter for any skill loaded this session
- Flag skills missing
capabilities:, requires:, or see_also: blocks for metadata enrichment
Prerequisite: Graph maintenance only runs when SKILLS_GRAPH.yaml exists at .claude/skills/. Skip silently if absent — WRK-205 implements the graph.
Proactive skill discovery (when SKILLS_GRAPH.yaml exists — WRK-205 + WRK-215):
Four checks are run to actively surface gaps — not just react to session signals:
| Check | Trigger | What it finds |
|---|
Broken see_also:/requires: refs | Every /improve run | Skills referenced in frontmatter but no matching SKILL.md exists = gap |
| WRK-domain coverage | Weekly /reflect | Active WRK tags:/module: with no matching skill domain = under-skilled domain |
| Enhancement priority queue | Weekly /reflect | Skills with empty capabilities: AND last_used within 30 days = high-priority stubs |
| Domain saturation heatmap | /improve --scope skills --audit | WRK-items ÷ skills per domain ratio — low ratio = under-skilled domain |
Broken-ref scan (runs every session):
- For each SKILL.md frontmatter: extract all
see_also: and requires: values
- For each value: check that a SKILL.md exists at the referenced path
- Any broken reference → emit gap candidate to
.claude/state/pending-reviews/skill-candidates.jsonl
- Dedup: only emit each gap once per 7 days (keyed by target path + date week)
Enhancement priority queue (weekly, via /reflect):
- Rank criteria:
see_also: reference frequency (most-referenced-by-other-skills) as primary; last_used recency as tiebreaker
- Output: top-5 enhancement candidates appended to
.claude/state/pending-reviews/skill-candidates.jsonl with type: enhancement
Domain saturation heatmap (on-demand: /improve --scope skills --audit):
- For each skill domain (using WRK-205 category indexes): count skills
- For each domain: count active WRK items with matching
module: or tags:
- Compute ratio; flag domains where ratio < 0.5 (more than 2 WRK items per skill)
- Print summary table to stdout; do not write to state files
Prerequisite: All proactive discovery checks skip silently when SKILLS_GRAPH.yaml is absent.
Log: "Skill discovery deferred — WRK-205 graph not yet built."
Outputs:
- List of consolidation recommendations (skill merges, memory splits)
- List of new skill candidates (gaps identified from session patterns)
- Responsibility reallocation suggestions (e.g., "move X from memory to rules")
- Knowledge graph updates: edges added,
last_used timestamps written, missing links added
- Metrics: total_skills, archived_ratio, avg_category_size, memory_total_lines
Decision rules:
- Consolidation: Only recommend if both skills have been loaded in same session 3+ times
- New skills: Only when pattern seen 3+ sessions AND no existing skill covers it
- Reallocation: Only when content clearly belongs to a different target (e.g., repeated correction → rules, not memory)
Phase 4: GUARD — Safety Checks Before Writing (incl. ecosystem review outputs)
-
Size guards:
- CLAUDE.md: 4KB budget
- KNOWLEDGE.md: 200-line limit
- Rules files: 400-line max per file
- SKILL.md files: 400-line max
-
Dedup check: Read target file, verify improvement doesn't already exist
-
No-clobber rule: If target file has uncommitted changes, skip it
-
Skill lifecycle gates:
- Create: Only when no existing skill covers the capability (search first)
- Deprecate: Only when unused for 90+ days AND superseded by another skill
- Archive: Move deprecated skills to
.claude/skills/_archive/ (never delete)
Phase 5: APPLY — Write Improvements
CLAUDE.md: Resource Index scan, Core Rules for patterns confirmed 3+ sessions. Use Edit tool.
Rules files (.claude/rules/*.md): Add examples from real corrections. Append to sections, never restructure.
Repo memory (.claude/memory/): Add debugging lessons, tool conventions, API quirks. Use env var placeholders for paths. Create new topic file if section exceeds 10 entries.
Skills (.claude/skills/**/*.md) — FULL LIFECYCLE:
- Enhance: Add examples, fix instructions from corrections
- Create: New SKILL.md when repeated pattern has no matching skill
- Deprecate: Add deprecation notice when unused 90+ days
- Archive: Move to
_archive/ with reason and date
Docs (.claude/docs/): Update stale references, add missing documentation.
Phase 6: LOG — Record Changes
Write to .claude/state/improve-changelog.yaml:
- Timestamp, changes list with file/action/diff_summary
- Skills lifecycle metrics: created/enhanced/deprecated/archived counts
- Ecosystem health metrics: total_skills, memory_lines, consolidation_count, reallocation_count
- signals_processed, changes_applied, signals_skipped (with reason)
Phase 7: CLEANUP — Mark Signals Consumed
Move processed signals from pending-reviews/*.jsonl to archive so they aren't reprocessed.
