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memory-to-skill

Turn workflows from your MemSearch memory into reusable skills. Use when the user asks to make/create/extract/distill a skill from what they just did or from past work, review skill candidates, install a distilled skill, or 'turn this into a skill'. Manages MemSearch procedural-memory candidates under .memsearch/skill-candidates/, not the host agent's own skills system.

76

Quality

93%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is memory-to-skill in zilliztech/memsearch

SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is well-organized and highly actionable, with concrete commands, clear staged workflows, explicit validation checkpoints for destructive/batch operations, and clean one-level-deep references to real bundle files. The only minor gap is a few passages of rationale that slightly inflate token usage without adding actionable information.

DimensionReasoningScore

Conciseness

Mostly lean and assumes Claude's competence (no explanations of what memory or skills are), but a few passages restate rationale and could be tightened; it sits just below the fully lean 5.

4 / 5

Actionability

Fully executable, copy-paste-ready commands throughout — `memsearch skills add`, `skills status`, `skills list`, `skills install`, `config get/set` — with concrete flags and arguments covering the common cases, matching the top anchor.

5 / 5

Workflow Clarity

Clear staged sequence (0→1→2) with intent routing, explicit human-in-the-loop validation checkpoints (review candidate before install, confirm destination, start fresh session after install), and feedback loops for destructive/batch operations (re-check uncertain steps against transcript, fix and retry), matching the top anchor.

5 / 5

Progressive Disclosure

SKILL.md is a concise overview that defers platform-specific detail to clearly signaled one-level-deep reference files, all of which exist in references/ (claude-code, codex, dsh, openclaw, opencode); navigation is explicit and easy.

5 / 5

Total

19

/

20

Passed

Description

95%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is precise and well-structured, answering both what the skill does and when to use it with a strong set of natural trigger phrases. Its only minor weakness is that the capability list, while concrete, could enumerate a couple more sub-actions to reach full comprehensiveness.

DimensionReasoningScore

Specificity

Lists several concrete actions ('make/create/extract/distill a skill', 'review skill candidates', 'install a distilled skill') with minor gaps — it stops short of naming every sub-action, sitting just below the fully comprehensive 5.

4 / 5

Completeness

Explicitly answers both 'what' (turn workflows from MemSearch memory into reusable skills; manages candidates under .memsearch/skill-candidates/) and 'when' (a concrete 'Use when the user asks to...' clause listing multiple trigger phrases), matching the top anchor.

5 / 5

Trigger Term Quality

Comprehensive natural phrasing users actually say — 'turn this into a skill', 'make a skill', 'review candidates', 'install a skill', 'mine my history' — including synonyms and the quoted idiomatic phrase, matching the top anchor.

5 / 5

Distinctiveness Conflict Risk

Carves a clear MemSearch-specific niche with distinct triggers and explicitly disambiguates itself ('not the host agent's own skills system'), giving minimal conflict risk with other skills.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
zilliztech/memsearch
Reviewed

Table of Contents

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