Memory search
Skill roronoazoroshao369/vibe-coding-os/skills/memory/memory-search
Vibe Coding OS — Claude/Codex/Cursor skill framework with 139 skills, 111 commands, 95 templates, 22 tracked sources, 28/28 validation gates PASS. Quality Shield, Engineering Discipline Pack, plugin marketplace.
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SKILL.md
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Skill: Memory Search
Purpose
Find candidate memory entries for a task using staged search, then return only relevant, cited, confidence-labeled context.
When to use
Use before planning, debugging, reviewing, or implementing when prior sessions, decisions, commands, or constraints may change the answer.
Inputs
- Current task and search question.
- Available local memory, project memory, session summaries, handoffs, and cited observations.
- Search terms, entities, files, time window, and scope filters.
Workflow
- Convert the task into 2-5 search queries: entity, file/path, decision, error, and workflow terms.
- Search broad indexes or summaries first; avoid loading raw transcripts by default.
- Inspect only promising entries, following citation IDs or source paths.
- Tune retrieval without binding to vector infrastructure: blend keyword/path hits for exact names with semantic summaries for fuzzy intent; start with a conservative relevance threshold, lower it only when recall is clearly missing, and rerank by source fit, recency, confidence, and contradiction risk.
- Deduplicate by source and keep the newest non-contradicted entry unless history matters.
- Label every returned fact with source, confidence, staleness, and contradictions.
- If nothing useful is found, say so and proceed without inventing memory.
Outputs
- Focused memory search report.
- Relevant citations and rejected/stale matches.
- Open questions or missing-memory note.
Failure modes
- Injecting every matching entry into context.
- Treating semantic similarity as evidence.
- Dropping source/citation labels.
- Ignoring stale or contradicted entries.
Verification checklist
- Search used more than one term or path when ambiguity existed.
- Hybrid keyword/path/semantic search was tuned only as far as the task required.
- Threshold and rerank choices are explainable without provider-specific claims.
- Raw context was loaded only after summary hits justified it.
- Returned context is cited, scoped, and confidence-labeled.
- Irrelevant/stale matches were excluded or marked.
Applied / Not Applied
Applied as original wording from Supermemory-inspired retrieval/search design and claude-mem-inspired progressive disclosure: hybrid keyword/path/semantic search, threshold tuning, and reranking guidance without requiring vector infrastructure. Not applied: Chroma, SQLite, embedding services, hosted search, SDK clients, or copied upstream text.
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