Vault search
Skill pantheon-org/tekhne/skills/agentic-harness/vault-search
Search persistent memory for relevant context — including architectural decisions, resolved bugs, and implementation patterns — when the user asks about past decisions, when debugging a recurring issue, when uncertain whether something was already decided, or before re-implementing something that may have been done before. Use when the user says "do you remember…", "what did we decide about…", or "have we solved this before".From its SKILL.md
npx -y skills add pantheon-org/tekhne --skill vault-searchAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 9 stars9 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
- runs commandsInstructs the agent to run 1 command, including `vault-cli search "<query>" [--top-k <n>] [--project <id>]`.
SKILL.md
3.7 KB, 736 tokens by cl100k_base, as published. Nobody here has run it
vault-search
Retrieve relevant memories from the vault using hybrid BM25 + vector search.
Mindset
Search before you implement, design, or debug — not after. A 2-second search that surfaces a prior constraint saves hours of work in the wrong direction. When search returns empty, say so honestly; never fabricate a memory.
When to use
- Before starting a non-trivial task: search for related prior decisions
- When the user asks "do you remember…" or "what did we decide about…"
- Before proposing an approach: check for existing constraints or patterns
- When a bug appears familiar: search for past workarounds
How to use
vault-cli search "<query>" [--top-k <n>] [--project <id>]
Exits 1 with "No results." if nothing is found.
Query construction
- Use noun phrases, not questions:
"auth token expiry"not"how does auth token expiry work?" - Use
--projectto narrow scope when working in a known project context - If the first query returns nothing, broaden: remove specific version numbers or
error codes and retry with a higher-level term (e.g.
"postgres connection"instead of"ECONNREFUSED 5432")
Handling no results
If the search exits with "No results.":
- Retry with a broader synonym query
- If still empty, tell the user no prior memory exists on this topic
- Never invent or guess at a prior decision — proceed fresh and offer to capture the new decision
Examples
vault-cli search "authentication approach"
vault-cli search "database migration strategy" --project my-app
vault-cli search "recurring TypeScript error" --top-k 3
vault-cli search "postgres connection refused" --project api
Output format
Each result shows:
1. [category] summary (date)
tier: episodic | strength: 0.87 | score: 0.0312
content preview...
Never
- Never skip search before a non-trivial implementation task — prior constraints may invalidate your approach before you write a line
- Never fabricate a memory when search returns empty — report "No results found" and proceed without invented context
- Never search with a full sentence or question — BM25 scores individual terms; verbose queries dilute signal
Mindset
Search memory first; do not re-derive what was already decided. Treat retrieval as cheap and re-work as expensive. Know when not to: trivial, self-evident steps do not need a memory lookup.
Anti-Patterns
NEVER re-implement something without searching memory first
- WHY: past decisions, constraints, and fixes are often already recorded; re-deriving them wastes effort and risks contradicting a prior decision.
- BAD: writing a new approach from scratch for a recurring problem.
- GOOD:
vault-cli search "<topic>"first, then build on what returns.
NEVER search with the user's literal phrasing when concrete nouns work better
- WHY: memory is indexed on concepts, not surface wording.
- BAD: searching the whole question verbatim.
- GOOD: extract the key nouns and search those.
ALWAYS treat an empty result as meaningful
- WHY: a miss suggests the decision is genuinely new and worth capturing.
References
- Vault Search: Query Tips - practical query construction guidance.
What ships with it: 19 files
9.6 KB alongside SKILL.md
evals/
- instructions.json2.7 KB
- scenario-1/capability.txt25 B
- scenario-1/criteria.json1.0 KB
- scenario-1/task.md234 B
- scenario-2/capability.txt15 B
- scenario-2/criteria.json1016 B
- scenario-2/task.md235 B
- scenario-3/capability.txt14 B
- scenario-3/criteria.json875 B
- scenario-3/task.md217 B
- scenario-4/capability.txt19 B
- scenario-4/criteria.json1.0 KB
- scenario-4/task.md306 B
- scenario-5/capability.txt21 B
- scenario-5/criteria.json1.0 KB
- scenario-5/task.md221 B
- summary_infeasible.json58 B
- summary.json246 B
references/
- query-tips.md383 B