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Analyzes installed skills for token usage, dependencies, and optimization suggestions. Reports totals, largest skills, quality scores, dependency patterns, and recommendations.
How this command is triggered — by the user, by Claude, or both
Slash command
/skrills:analyze-skills [--min-tokens N] [--no-suggestions]The summary Claude sees in its command listing — used to decide when to auto-load this command
# Analyze Skills Analyze installed skills using the skrills MCP server. Use the `mcp__plugin_skrills_skrills__analyze-skills` tool with: - `min_tokens`: Only include skills with at least this many tokens - `include_suggestions`: Include optimization suggestions (default: true) Parse `$ARGUMENTS` for: - `--min-tokens N` or `-m N`: Filter to skills with N+ tokens - `--no-suggestions`: Disable optimization suggestions Report analysis including: - Total skills and aggregate token usage - Largest skills by token count - Quality score distribution - Dependency patterns - Optimization recommen...
Analyze installed skills using the skrills MCP server.
Use the mcp__plugin_skrills_skrills__analyze-skills tool with:
min_tokens: Only include skills with at least this many tokensinclude_suggestions: Include optimization suggestions (default: true)Parse $ARGUMENTS for:
--min-tokens N or -m N: Filter to skills with N+ tokens--no-suggestions: Disable optimization suggestionsReport analysis including:
Handle errors:
npx claudepluginhub athola/skrills --plugin skrills/skills-evalEvaluates Claude Skills for quality, frontmatter compliance, token efficiency, activation reliability, and security. Generates scores, breakdowns, prioritized improvements, and roadmaps for all or specific skills.
/skill-reportGenerates report of installed skills with quick health scan, context budget, portfolio overview, and quality summary. Supports --skip-scan and --scan-only flags.
/fire-skillManages skills across their lifecycle — create, import, test, list, stats, export, browse, and upgrade. Supports both quick and interactive creation modes.
/skill-reviewAnalyzes skill execution metrics including success rate, duration, worst-case accuracy, and stability gap to identify unstable or underperforming skills with recommendations. Supports --skill, --unstable-only, --top, --recommendations flags.
/skillsManages Conductor skills: lists available with status, shows details, enables or disables for current project via Python CLI or file ops.
/benchmark-skillsBenchmarks Agent Skills across marketplace plugins via static analysis of SKILL.md files, producing a quality scorecard table with pass/fail checks, classifications, and scores. Supports --plugin filter.