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recall
Query the Content Analysis System (CAS) knowledge base. Search extraction candidates, filter by tags/type/source, search across all analyzed sources.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Query the Content Analysis System (CAS) knowledge base. Search extraction candidates, filter by tags/type/source, search across all analyzed sources.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Structured discovery-first planning for complex tasks. Ask exhaustive categorized questions, build a standalone decision record, then produce a step-by-step implementation plan with audit checkpoints and convergence-loop verification of diagnosis and plan claims for user approval before any code is written.
Multi-agent research engine that decomposes questions, dispatches parallel searcher agents, synthesizes findings with citations and confidence levels, runs mandatory contrarian/OTB challenges, gap-pursuit verification, and cross-model verification via Gemini CLI, and produces structured output with downstream adapters, research index, and management commands.
Pre-flight checklist for work sessions — loads context, runs health scripts, surfaces warnings, and gates on acknowledgment before work begins.
PR Review Retrospective -- actionable analysis of a PR's review cycle with convergence-loop deliverable verification, interactive findings walkthrough, and dashboard for missing retros
Process external PR code review feedback (CodeRabbit, Qodo, SonarCloud, Gemini) through a structured 8-step protocol. Parses all items, categorizes by severity and origin, fixes in priority order, tracks deferred items to TDMS, and captures learnings. This skill processes review feedback — it does not generate reviews.
Content analysis for documents — PDFs, gists, articles, markdown, arxiv papers, code snippets, meeting notes. Dual-lens (Creator View + Engineer View). Two user-invokable depths (Standard / Deep); Quick Scan is triage- only. Outputs to .research/analysis/<doc-slug>/.
| name | recall |
| description | Query the Content Analysis System (CAS) knowledge base. Search extraction candidates, filter by tags/type/source, search across all analyzed sources. |
Document Version: 1.2 Last Updated: 2026-04-17 Status: ACTIVE Tier: Standard
/recall is the query layer of the Content Analysis System (CAS) — the T28 epic
that turns analyzed sources into a searchable knowledge base. Everything
analyzed via /analyze (or a direct handler) is queryable here. "Extraction
candidates" are individual ideas, patterns, or findings extracted during
/analyze runs and journaled to .research/extraction-journal.jsonl.
TL;DR: SQLite-backed query primitive over CAS extractions. Default = FTS5
free-text search. Common flags: --tag, --type, --sort, --source,
--target=sources, --stats, --limit. Auto-rebuilds index if missing. See
.planning/content-analysis-system/DECISIONS.md for architecture.
"Query what's in the index" → /recall
"Synthesize patterns across sources" → /synthesize (cross-source interpretation)
"Analyze a new URL/file" → /analyze (or direct handler)
"Search filesystem text" → Grep (file substrate, not extractions)
Pipeline: /analyze → writes extractions → /recall queries → /synthesize
interprets → /deep-plan / /brainstorm consume.
/recall is a query primitive — use inside discovery workflows or
standalone for exploration.
/analyze/recall --target=sources)/deep-plan or /brainstorm — per CLAUDE.md
PRE-TASK rule, scan /recall --tag=<topic> before building/improving anything/analyze or a direct handler first/synthesize.
/recall queries the index; /synthesize interprets it./recall searches
extracted knowledge (SQLite-backed); Grep searches files directly./recall <search terms> # FTS5 free-text (quote multi-word; OR/NOT/prefix* — see REFERENCE.md §1.1)
/recall --tag=architecture # Filter by tag
/recall --type=<repo|website|document|media> # Filter by source type
/recall --sort=<recent|novelty> # Sort (novelty = high/medium/low, set during /analyze)
/recall --source=unstructured # By specific source (slug or partial — LIKE match)
/recall --target=sources # List analyzed sources instead
/recall --stats # Show index statistics
/recall --limit=30 # Adjust result limit (default 20)
Combine filters:
/recall "plugin architecture" --type=repo --sort=novelty # cross-source idea discovery
/recall --tag=anti-pattern --type=website
/recall --target=sources --type=media
.research/ files. If rebuild fails, surface sanitized error; do not fall
back to file-based search./recall transforms it into human-readable presentation in chat./recall --stats for available tags. If index is empty (zero
sources analyzed): suggest /analyze <url> to populate.--limit surface error + Usage hint; do not silently default.
FTS5 syntax errors (malformed query) → surface parse error + suggest quoting
the query.rm .research/content-analysis.db followed
by /recall (triggers rebuild from source files)./recall <terms> --sort=X"). User can
correct via Follow-Up Options..research/tag-vocabulary.json is missing/invalid, tag grouping falls back
to orphan_tags only — rebuild vocab via /analyze retag or
node scripts/cas/retag.js..research/content-analysis.db is missing, rebuild (see
§When Index Is Missing) — safe to re-run; rebuild is idempotent.node scripts/cas/recall.js with parsed arguments. Script outputs
JSON on stdout, result count on stderr.--target=sources), or stats (--stats). 3a. If
zero results, present refinement suggestions per Critical Rule 4.Done when: results presented in mode-appropriate format (or empty-result suggestions offered), and user selects a follow-up option or says "Done."
Each result comes with category-aware tag groupings per
.claude/skills/shared/CONVENTIONS.md §14:
About: = semantic_tags (flat, middle-dot separated)Type: = taxonomic_tags (artifact type)Legacy tags: = orphan_tags (shown only when non-empty — signals
un-retagged entries)Found 2 results for "architecture":
1. Auto-routing via type detection [pattern]
Source: unstructured-io/unstructured (repo) | Novelty: high | Effort: E2
About: knowledge-management · claude-code · multi-agent · jason-os-relevant
Type: framework
"partition() auto-detects file type via libmagic, routes to format-specific
partitioner."
2. Per-site extractor plugin architecture [pattern]
Source: iawia002/lux (repo) | Novelty: high | Effort: E2
About: extraction · web-crawling
Type: utility-tool
Legacy tags: repo, anti-pattern
"44-site video downloader with per-site extractor plugins."
No results found for "quantum computing".
Suggestions:
- Broaden your search terms
- Check available tags: /recall --stats
- List all sources: /recall --target=sources
For source listing (--target=sources) and stats (--stats) presentation
formats, see REFERENCE.md §2.2-2.3. For JSON field contracts, see REFERENCE.md
§2.1-2.3.
After presenting results, offer (select by number or description, e.g., "1" or "read full"):
--tag=architecture.--source=<selected-source>./synthesize --type=<selected-type> for cross-source
interpretation.For context-specific follow-ups (source mode, stats mode, empty results), see REFERENCE.md §3.2-3.4.
If the SQLite database doesn't exist:
Index not found. Building from .research/ files...
[rebuild-index.js prints per-source progress — ~30-60s for 50+ sources]
Done. [N] sources, [M] extractions indexed.
[then runs the query]
Rebuild is idempotent — safe to re-run if interrupted. If rebuild fails, surface
sanitized error and suggest manual inspection
(node scripts/cas/rebuild-index.js --verbose). Do not fall back to file-based
search (REFERENCE.md §4.3).
/synthesize, /analyze (router), 4 analysis handler skills
(/repo-analysis, /website-analysis, /document-analysis,
/media-analysis). Handler analysis.json and synthesis.json schemas are
validated during rebuild-index.js; schema mismatches surface at rebuild./deep-plan, /brainstorm. Note: these skills
currently access .research/EXTRACTIONS.md + extraction-journal.jsonl
directly via Read/Grep (see CLAUDE.md PRE-TASK rule). /recall is an
alternative query surface over the same data./recall returns human-readable text inline
(transformed from recall.js JSON on stdout). No file handoff./recall
ever reads synthesis.json directly, it SHOULD gate on
synthesis.json.schema_version >= 1.0 — older/unversioned artifacts ignored
with a WARN and hint "Run /synthesize to rebuild." Current implementation
relies on rebuild-index.js for substrate validation..research/extraction-journal.jsonl) is canonical
for extraction records; SQLite (.research/content-analysis.db) is the
derived queryable index. Per project standards (CLAUDE.md,
SKILL_STANDARDS.md): JSONL for data, SQLite derived for query.readonly: true), symlink-refused paths,
size-guarded file reads (scripts/lib/security-helpers.js +
scripts/lib/safe-fs.js)..planning/content-analysis-system/DECISIONS.md (T28 epic).data/ecosystem-v2/invocations.jsonl per
SKILL_STANDARDS.md.Status: Scaffold — full self-audit.js script deferred to a follow-up
session. See .planning/skill-audit-recall-phase4/HANDOFF.md for scope.
Until scripts/skills/recall/self-audit.js exists, the "Done when:" gate in
§How It Works serves as the completion criterion. Once the script lands, Phase 5
will invoke:
node scripts/skills/recall/self-audit.js
Covering SKILL_STANDARDS.md Dims 1-5 + 8 (contract) + regression checks for
OPDEP-1 (--target=sources standalone), Wave 4 schema framing, and
scripts/cas/self-audit.js producer-side validation.
| Version | Date | Description |
|---|---|---|
| 1.2 | 2026-04-17 | Session #285 — full skill-audit pass: primacy fix (Critical Rules moved up), MUST/SHOULD hierarchy, Routing + pipeline, Tier declaration, OPDEP-1/ECO-1/ECO-2 corrections, Phase 5 stub. |
| 1.1 | 2026-04-12 | Session #281 — T40 Part C: category-aware tag display (semantic/taxonomic/orphan) + vocabulary-aware --stats. Why: retag work exposed that flat tag lists lose category meaning; fix makes taxonomy visible in query results. |
| 1.0 | 2026-04-08 | Session #269 — Initial creation (T28 CAS). |