Name: memory-to-skill
Rating: 78.4 (1 reviews)
Author: zilliztech

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

97%

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Securityby

Passed

No findings from the security scan

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

Quality

Content

100%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 lean, highly actionable skill body that sequences a multi-stage workflow with explicit validation checkpoints and cleanly delegates platform specifics to one-level-deep reference files. Every dimension lands at the top of the scale.

Dimension	Reasoning	Score
Conciseness	Dense and information-rich with no padding or explanation of concepts Claude already knows; the stage model, intent-routing table, and exact commands each earn their tokens and assume competence.	5 / 5
Actionability	Provides copy-paste-ready commands with real flags and placeholders throughout (memsearch skills add/status/list/install, config get/set, git log), covering the common capture/review/install/configure cases.	5 / 5
Workflow Clarity	Sequences the 0->1->2 stages via intent routing to A/B/C/D with explicit interactive checkpoints, re-check/flag validation before install, and a guardrails section including feedback loops for the destructive install-copy step.	5 / 5
Progressive Disclosure	Keeps the overview in SKILL.md and splits platform-specific detail into five one-level-deep reference files (claude-code.md, codex.md, openclaw.md, opencode.md, dsh.md), each referenced by exact path with clear navigation cues.	5 / 5
	Total	20 / 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, trigger-rich description that clearly states what the skill does and when to invoke it, with concrete actions and an explicit disambiguation from the host skills system. Only minor room to sharpen the action enumeration for a perfect specificity score.

Dimension	Reasoning	Score
Specificity	Lists several concrete actions (make/create/extract/distill, review candidates, install) plus a concrete path (.memsearch/skill-candidates/), but the umbrella 'reusable skills' keeps it just short of a fully enumerated, comprehensive action set.	4 / 5
Completeness	Explicitly answers both what (turn MemSearch memory workflows into reusable skills; manage procedural-memory candidates) and when (a concrete 'Use when...' clause enumerating trigger scenarios).	5 / 5
Trigger Term Quality	Includes natural user phrases with synonyms ('make/create/extract/distill a skill', 'review skill candidates', 'install a distilled skill') and an exact quoted utterance ('turn this into a skill'), giving comprehensive trigger coverage.	5 / 5
Distinctiveness Conflict Risk	Names the MemSearch niche, the candidate store path, and explicitly disambiguates from the host agent's own skills system, yielding a clear niche with minimal conflict risk.	5 / 5
	Total	19 / 20 Passed

Validation

100%

Warnings & errors only

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
Commit: 3e98e4a

Reviewed: 3 days ago

Table of Contents

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