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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.

72

Quality

88%

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

81%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.

A well-structured, highly actionable body with clear stage sequencing, explicit validation checkpoints, error-recovery fallbacks, and guardrails. Platform-specific detail is properly pushed to real reference files. Main weaknesses are the missing transcript-drill command in section C (deferred to an external skill's file), a few trimmable rationale sentences, and a version-stamped config note.

Suggestions

Include the transcript-drill command (or a reference file in this bundle holding it) in section C instead of deferring to the memory-recall skill's platform reference, so the key step is executable from this skill alone.

Trim rationale sentences that don't change behavior, e.g. the closing paragraph of section C explaining why on-demand mining is more accurate, and move the "Since v0.4.11" version note into a short deprecated/old-patterns note.

Inline the one or two recommended install paths per platform directly in the "Install paths" section (or fold it into the existing platform reference bullets) so it carries content rather than being a bare pointer.

DimensionReasoningScore

Conciseness

The body is dense and skill-specific with no explanations of concepts Claude already knows, but a few rationale sentences ("doing it here on demand lets you inspect the original transcripts more deliberately, so the result can be more accurate") and a version-stamped note ("Since v0.4.11…") could be trimmed, matching anchor 4. Not 3: the padding is isolated rather than a pattern of unnecessary explanation.

4 / 5

Actionability

Concrete, copy-paste-ready commands appear throughout (`memsearch skills add --name … --body-file -`, `skills status/list`, `config get/set`, `skills install <name> --path …`), matching anchor 4. Not 5: the transcript drill — the central step of section C — has no command in this skill or its bundle ("see the memory-recall skill's platform reference for the exact command"), leaving a real execution gap.

4 / 5

Workflow Clarity

Stages 0→1→2 and intent routing give a clear sequence, with explicit validation ("Before recommending or installing, skim the candidate's body… re-check it against the source"), an interactive install checkpoint ("confirm the install destination with the user"), error-recovery fallbacks ("Only if that command fails… fall back to reading the raw file"), and a Guardrails checklist — matching anchor 5. Not 4: checkpoints and feedback loops are explicit rather than mostly present.

5 / 5

Progressive Disclosure

Platform-specific detail is correctly split into five real one-level-deep files in references/, each clearly signaled by platform ("Claude Code → references/claude-code.md" etc.), matching anchor 4. Not 5: the cross-reference to the memory-recall skill's platform reference points outside this bundle where the reader may not have it, and the "Install paths" section is a bare pointer.

4 / 5

Total

17

/

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.

A strong description that clearly states both what it does and when to use it, with multiple verb synonyms and a verbatim user phrase ("turn this into a skill") as triggers. The explicit "not the host agent's own skills system" boundary keeps conflict risk minimal. Only minor gap: the configure and history-mining intents are implied rather than named as capabilities.

DimensionReasoningScore

Specificity

"Turn workflows from your MemSearch memory into reusable skills", "review skill candidates", "install a distilled skill", and "Manages… candidates under .memsearch/skill-candidates/" list several concrete actions with a named path, matching anchor 4. It falls short of anchor 5 because the make/create/extract/distill cluster is one action with synonyms and the configure/mining intents are only implied via "from past work".

4 / 5

Completeness

It explicitly answers what ("Turn workflows from your MemSearch memory into reusable skills… Manages MemSearch procedural-memory candidates under .memsearch/skill-candidates/") and when ("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…") with concrete trigger phrases, matching anchor 5.

5 / 5

Trigger Term Quality

"make/create/extract/distill a skill", "review skill candidates", "install a distilled skill", and the verbatim user phrase "'turn this into a skill'" give comprehensive natural-term coverage including synonyms. Not 4: no common user phrasing for this task is missing.

5 / 5

Distinctiveness Conflict Risk

It carves a clear MemSearch niche and actively disambiguates ("not the host agent's own skills system"), so it is unlikely to trigger for the wrong skill. Not 4: the explicit boundary statement eliminates even the minor overlap risk with generic skill-creation 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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
zilliztech/memsearch
Reviewed

Table of Contents

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