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workflow-from-chats

Extract durable working preferences from recent Cursor chats and convert them into skills, rules, or workflow docs. Use when asked to learn preferences, mine feedback, personalize workflows, or generate team/person-specific agent guidance.

76

Quality

93%

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SecuritybySnyk

Critical

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SKILL.md
Quality
Evals
Security

Quality

Content

87%

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

The body is a tightly written, well-structured instruction skill that assumes Claude's intelligence and gives concrete, actionable guidance. Its main weakness is the absence of an explicit validation checkpoint before writing artifacts, which leaves the workflow one step short of fully robust for a batch-write operation.

Suggestions

Add an explicit validation/verification step before writing artifacts (e.g., 'Before writing any file, confirm the preference is strong or medium confidence and cite at least one parent conversation'), turning the implicit contradicted-rule gate into a checkpoint in the main workflow.

Insert a brief feedback loop for the write step, such as 'After drafting, re-check each atom against its evidence and drop any without strong or medium confidence,' to satisfy the rubric's feedback-loop requirement for batch operations.

Clarify the stop/done condition for the overall workflow (e.g., when to stop scanning transcripts or when the artifact set is complete) so the sequence has an explicit completion checkpoint.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — no concept explanations, no padding — with every section (Scope, Workflow, Confidence, Artifact Choice, Output) earning its place, matching the score-3 lean-and-efficient anchor.

3 / 3

Actionability

It gives concrete enumerated guidance: an 8-step workflow, explicit scan markers ('I prefer', 'always', 'never'), defined preference-atom fields, and confidence/artifact-choice criteria; per the rubric's code-vs-instruction note, absence of executable code in this instruction-only skill is not penalized when guidance is this actionable.

3 / 3

Workflow Clarity

The 8-step sequence is clearly ordered, but there is no explicit validation or verify-before-write checkpoint in the main workflow; the only gate is the 'Contradicted: ask the user before writing files' rule, so per the rubric's feedback-loop note for batch write operations workflow clarity is capped at 2 rather than reaching the score-3 explicit-validation anchor.

2 / 3

Progressive Disclosure

The skill is under 50 lines, needs no external references, and is organized into well-labeled sections (Scope, Workflow, Confidence, Artifact Choice, Output), satisfying the rubric's simple-skills allowance for a score-3 on progressive disclosure with well-organized sections.

3 / 3

Total

11

/

12

Passed

Description

100%

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 concise, third-person, and clearly states both capabilities and explicit triggers. It avoids vague fluff and would naturally surface when a user asks to learn preferences or personalize workflows. It is a strong, well-scoped description.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Extract durable working preferences' and 'convert them into skills, rules, or workflow docs' — matching the score-3 anchor of multiple specific concrete actions rather than the score-2 single-domain phrasing.

3 / 3

Completeness

It explicitly answers both what (extract preferences and convert them into skills, rules, or workflow docs) and when via an explicit 'Use when...' clause, matching the score-3 anchor and avoiding the score-2 cap for a missing trigger clause.

3 / 3

Trigger Term Quality

The 'Use when asked to learn preferences, mine feedback, personalize workflows, or generate team/person-specific agent guidance' clause covers natural phrasings a user would actually say, satisfying the score-3 good-coverage anchor rather than partial score-2 coverage.

3 / 3

Distinctiveness Conflict Risk

The narrow niche of mining Cursor chat transcripts for preference atoms into durable artifacts gives it distinct triggers unlikely to fire for unrelated skills, matching the score-3 clear-niche anchor.

3 / 3

Total

12

/

12

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
cursor/plugins
Reviewed

Table of Contents

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