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Found 4 Skills
Optimizes AI skills for activation, clarity, and cross-model reliability. Use when creating or editing skill packs, diagnosing weak skill uptake, reducing regressions, tuning instruction salience, improving examples, shrinking context cost, or setting benchmark/release gates for skills. Trigger terms: skill optimization, activation gap, benchmark skill, with/without skill delta, regression, context budget, prompt salience.
Lint skill descriptions, body length, and reference bulk against token budgets. Use when tightening standing-context cost. NOT for DCP tuning or RTK hooks.
Audit and govern Skills, plugins, and MCP servers across Codex, Claude Code, and compatible Agent hosts. This tool applies when users request to inventory, deduplicate, classify, scope, archive, or reduce the context cost of Agent capabilities; ask why there are so many Skills; need to make global/project/trigger-related decisions; or use phrases like "Skill Slimming", "Inventory Skills", "Organize Skills", "Skill Governance", "Too Many Skills", "Which Skills Take Effect Globally", "Analyze Plugins and MCP", "Context Occupancy", "Generate Skill Review Page", "I'm Done Selecting", or "Read My Skill Settings". Default to a read-only evidence audit and a locally persisted review draft. Never install, enable, copy, archive, disable, delete, or execute a plan without separate explicit authorization for the exact phase and target set.
Audits recent Claude Code and Codex session logs for token and context cost: model routing, inherited subagent models, long sessions, compactions, oversized tool results, and unused MCP servers. Use when the user says "audit token usage", or when asked about agent token usage, context costs, session length, model routing, or cost efficiency.