agentleFS
prPMDevprPMDev/my-portfolio-kit/.claude/skills/skill-improver/SKILL.md

skill-improver

Skill2 starsChanged 34 days agoMITView on GitHub

Improve the kit's skills based on usage patterns and feedback. Looks at what you override, reject, or redo — then proposes targeted edits. Builder skills get process, output, and handoff fixes; evaluator skills get recalibrated grading when your judgment and the skill's diverge. Use when you keep overriding or redoing a skill's output, or an evaluator's grade feels too strict or too lenient.

19 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 19 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Ask: "Any specific feedback on these skills, or should I work from what I've observed?"

    line 43
  2. Very specific:

    Read .claude/skills/<name>/SKILL.md for each target.

    line 52
  3. Distinctive:

    If a rewrite IS needed, show full before/after.

    line 86

“Common” is measured: kept by at least 6 in 10 of the 19 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Skill Improver

Improve skills by tracking what works, what you override, and what falls flat — then proposing targeted edits.

Scope

Builder skills — CREATE content or implement changes:

SkillWhat It Builds
/portfolio-copywriterWebsite copy (hero, about, CTAs)
/story-adapterWork stories, case studies
/content-strategistContent routing decisions
/website-expertCode, design, technical implementation
/find-my-voiceVoice profile
/refreshUpdates to an existing portfolio
/setupFirst-run identity and contact

Improve: process (steps that produce weak output), handoffs (gaps between skills, e.g. copywriter → website-expert), output quality (templates, principles, defaults that aren't working), missing guidance.

Evaluator skills — JUDGE content or gate publishing:

SkillWhat It Evaluates
/quality-checkFinal gate — orchestrates specialists
/voice-guardianTone, authenticity, corporate speak
/web-content-optimizerSEO, readability, performance, mobile
/anonymizerSensitivity, confidentiality

Improve: grading criteria (A-D thresholds too strict, too lenient, or missing), checklists, priority definitions (P0/P1/P2), gate logic (what blocks publishing vs. what's a note).

Process

1. Collect Signals

Ask: "Any specific feedback on these skills, or should I work from what I've observed?"

Accept:

  • Explicit feedback — complaints ("copywriter keeps writing generic hooks", "voice-guardian flags too many things"), missing checks ("web-content-optimizer doesn't catch X"), grade disagreements ("that should have been a B, not a C")
  • Overrides observed in the conversation — output the user rewrote or always edits, steps skipped or reordered, flags the user kept anyway, shipping despite a failing grade. For evaluators this is the strongest signal: the evaluator was wrong, not the user.
  • "Just check" — work from observed patterns only

2. Read Target Skill File(s)

Read .claude/skills/<name>/SKILL.md for each target. Note process steps, principles, templates, and output formats. For evaluators, focus on grade definitions, checklist items, priority definitions, and pass/fail thresholds.

3. Diagnose and Propose

Classify each gap.

Builder gap types: missing guidance, weak principle, stale example, missing step, wrong priority.

Evaluator gap types:

Gap TypeDescriptionExample
Missing checkSomething the evaluator should catch but doesn'tweb-content-optimizer doesn't check CTA strength
Weak criteriaCheck exists but threshold is vague"Good CTA" without defining good
Wrong priorityIssue flagged at wrong severityBroken mobile = P2 should be P0
Over-strictEvaluator flags things user consistently overridesVoice guardian rejecting your preferred phrases
Under-strictEvaluator passes things that don't hold upVoice guardian passing resume-speak

For each gap, propose ONE specific edit:

FieldValue
SkillWhich skill file
SectionWhich section to edit
Gap typeFrom above
ConfidenceHigh/Medium — based on signal strength
Current textExact quote from skill file
Proposed textReplacement text
WhyWhat pattern or feedback this addresses
RiskWhat could go wrong (e.g., "might flag too aggressively at first")

Rules:

  • One gap = one proposal. No bundling.
  • Additive preferred over rewrites — add a principle, don't rewrite a section. Never remove existing guidance unless it's clearly wrong.
  • If a rewrite IS needed, show full before/after. For grading criteria, show the full grade definition before/after. For checklist additions, show where in the list it goes.

4. Get Approval

Present all proposals. User approves, rejects, or modifies each one individually. Never apply without explicit approval.

5. Apply and Log

For each approved edit:

  1. Apply the change to the skill file
  2. Append to the skill's Change Log (create if missing):
DateChangeSourceApproved
YYYY-MM-DDBrief descriptionfeedback/patternYes

Principles

  • Minimal edits — smallest change that addresses the gap
  • Your overrides are data — when you consistently keep or redo something, the skill needs recalibration, not you
  • One edit, one reason — every change maps to an observed pattern
  • Preserve voice — edit the skill's process, not its personality
  • User decides — propose, never auto-apply

Evaluator calibration:

  • False positives erode trust — an evaluator that flags too much gets ignored. Fewer, higher-confidence flags > many weak flags.
  • Evaluators should agree — if voice-guardian gives an A to copy the user keeps rewriting, something is miscalibrated.
  • Grade inflation awareness — if everything gets A, the grading is too lenient. If real-world results don't match the grades, someone should have caught it.
  • Evaluators flag, don't fix — evaluators identify problems; builder skills fix them. An evaluator prescribing solutions is scope creep.

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Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.