aiwayne/skill-fit
skill-fit/SKILL.md
--- name: skill-fit description: Decide whether a skill should be installed for a specific user profile and task context. Use this whenever users ask "该不该装这个skill", "适不适合我", "值不值得装", "适用场景", "适合/不适合人群", or request a clear install recommendation. Always output a hard decision: RECOMMEND_INSTALL, OPTIONAL_INSTALL, or DO_NOT_INSTALL, with profile and scenario tags. --- # Skill Fit Make a strong install decision for a candidate skill based on who the user is and what work they repeatedly need to d
testing
Updated Apr 1, 2026
$ install --global
skillsauthnpx skillsauth add aiwayne/skill-fit skill-fitInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
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95%
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50%
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50%
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Last scanned: Apr 2, 2026, 4:22 AM59.3s4 files scanned
SKILL.md
- name:
- skill-fit
- description:
- Decide whether a skill should be installed for a specific user profile and task context. Use this whenever users ask "该不该装这个skill", "适不适合我", "值不值得装", "适用场景", "适合/不适合人群", or request a clear install recommendation. Always output a hard decision: RECOMMEND_INSTALL, OPTIONAL_INSTALL, or DO_NOT_INSTALL, with profile and scenario tags.
Skill Fit
Make a strong install decision for a candidate skill based on who the user is and what work they repeatedly need to do.
Read references/scope-and-handoff.md before producing a final recommendation.
Input Contract
Collect these fields first. If key fields are missing, ask for them before judging.
Required:
- candidate skill (
name,url, or package id) - user profile (role, team type, skill maturity)
- usage scenario (single task vs repeated workflow, frequency)
Optional but useful:
- current pain point (time, quality drift, coordination cost)
- environment limits (tools, permissions, platform)
Decision Rules
Always produce one and only one of:
RECOMMEND_INSTALLOPTIONAL_INSTALLDO_NOT_INSTALL
Never output "it depends" without a final decision.
Use these judgment signals:
- Frequency: repeated workflow favors installation.
- Complexity: multi-step or domain-specific workflow favors installation.
- Collaboration cost: cross-person consistency needs favor installation.
- Learning overhead: if setup cost is high and use is rare, do not install.
- Substitution quality: if native capabilities cover 80%+ with low risk, prefer optional or no install.
Output Template
Use this exact structure:
Decision
RECOMMEND_INSTALL | OPTIONAL_INSTALL | DO_NOT_INSTALL
Why (Evidence)
- Evidence 1 (measurable)
- Evidence 2 (measurable)
Usage Scene Tags
- tag-1
- tag-2
- tag-3
Value Tags
- efficiency_gain
- consistency_gain
- risk_reduction
Suitable User Tags
- role + maturity + team context
Unsuitable User Tags
- role + anti-pattern scenario
Install Threshold
- Minimum condition to justify installation
No-Install Fallback
- Practical fallback workflow without installing this skill
Tagging Guide
Prefer concise, reusable tags:
- Scene:
high_frequency_repetition,cross_team_standardization,complex_multistep_workflow,low_frequency_oneoff - Value:
efficiency_gain,consistency_gain,risk_reduction,handoff_clarity - Profile:
pm_newbie,designer_pro,devops_team,solo_builder
Integration Notes
If the user asks to "find + decide" in one request:
- call discovery first (via
find-skills) - then evaluate top candidate(s) with this skill
If no candidate skill exists:
- state "no candidate"
- recommend using
skill-creatorto build custom capability
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