CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

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.

Quality

92%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
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

85%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, command-first skill body with clear stage routing, strong human-approval checkpoints, and excellent progressive disclosure of platform-specific detail into real one-level-deep reference files. The two minor weaknesses are slight repetition/padding in the platform-reference pointers and the section-C transcript-drill command being deferred to a reference outside this bundle.

Suggestions

Consolidate the three separate pointers to the platform reference files (intro list, section D, 'Install paths') into a single mapping so the same navigation is stated once.

Inline the exact transcript-drill command (or add it to a reference file in this skill's bundle) instead of deferring to the memory-recall skill's platform reference, so section C is executable without external context.

Trim rationale asides in sections B and C (e.g., 'so the result can be more accurate', the hash-mechanics explanation) to the decision-relevant core.

DimensionReasoningScore

Conciseness

The body is dense and command-first with little concept re-teaching, but has minor trimmable padding: the platform-reference pointer is repeated three times (intro list, section D, 'Install paths'), and asides like 'so the result can be more accurate' and the skills-status hash-explanation paragraph could be tightened. Matches the 4 anchor ('minor instances of over-explanation') rather than the 5 anchor's every-token-earns-its-place.

4 / 5

Actionability

Mostly executable guidance: full `printf ... | memsearch skills add` pipeline, `skills status/list/install`, and exact `config get/set` keys with the `2>/dev/null || echo` fallbacks. Falls short of the 5 anchor because the section-C transcript drill defers 'the exact command' to an external memory-recall skill reference not present in this bundle, and the add example's body is a placeholder — minor gaps rather than copy-paste-ready common cases throughout.

4 / 5

Workflow Clarity

The 0→1→2 stage model, intent routing, and per-section sequences are explicit, with validation and feedback loops throughout: 'Be exact — do not guess... verify it' before persisting (A), re-check the candidate against source/flag to user before install (B), and drill into the original transcript with a documented fallback ('Only if that command fails... fall back to reading the raw file') plus 'never fabricate' recovery in (C). Matches the 5 anchor's explicit validation steps with error-recovery loops.

5 / 5

Progressive Disclosure

Universal guidance lives in the body while all platform-specific material (config key prefixes, install paths, V2 runtime notes) is split into five real, one-level-deep reference files, each clearly signaled with an explicit platform-to-file mapping; verified the referenced files exist and do not nest further. Matches the 5 anchor — clear overview, well-signaled one-level-deep references, easy navigation.

5 / 5

Total

18

/

20

Passed

Description

96%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: concrete actions, explicit 'Use when' triggers with verbatim user phrasing, and an explicit boundary that disambiguates it from the host agent's own skills system. The only weakness is that its broad skill-creation trigger verbs carry minor overlap risk with a host's native skill-creation flow.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Turn workflows... into reusable skills', 'review skill candidates', 'install a distilled skill', 'make/create/extract/distill a skill' — plus the concrete store path '.memsearch/skill-candidates/'. Coverage of the skill's core operations is comprehensive, matching the 5 anchor rather than the 4 anchor's 'minor gaps'.

5 / 5

Completeness

Explicitly answers both: what — 'Turn workflows from your MemSearch memory into reusable skills'; when — 'Use when the user asks to make/create/extract/distill a skill... review skill candidates, install a distilled skill, or "turn this into a skill"'. Both are concrete and trigger-phrase-based, matching the 5 anchor.

5 / 5

Trigger Term Quality

Natural user phrasing is comprehensively covered with synonyms and a verbatim quoted trigger: 'make/create/extract/distill a skill from what they just did or from past work', 'review skill candidates', 'install a distilled skill', and "'turn this into a skill'". Matches the 5 anchor including quoted variations; no common phrasing is missing.

5 / 5

Distinctiveness Conflict Risk

The MemSearch scoping and the explicit boundary 'not the host agent's own skills system' make it mostly distinct, but the trigger verbs 'make/create a skill' are broad and could overlap with a host agent's own skill-creation flow — minor overlap risk with a closely related skill, matching the 4 anchor rather than the 5 anchor's 'minimal conflict risk'.

4 / 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

Path

plugins/opencode/skills/memory-to-skill/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.