skillkit
Local-first analytics for AI agent skills. Use when user asks about skill usage, analytics, health, context budget, cost/burn rate, trigger conflicts, dead weight analysis, or wants to clean up unused skills.
What this skill does
# SkillKit Production observability for AI agent skills. Monitors usage, detects conflicts, analyzes cost, and prunes what you don't use. ## Commands SkillKit is a standalone CLI. Run with `bunx @crafter/skillkit <command>` or install globally (`bun i -g @crafter/skillkit`). ### Usage & Budget - `skillkit scan` - Discover skills + index session data (auto-runs on first use) - `skillkit scan --include-commands` - Also track slash commands (not just skills) - `skillkit stats` - Usage analytics with sparklines, streak count, weekly velocity (last 30 days) - `skillkit stats --all --days 90` - Full list over 90 days - `skillkit stats --json` - JSON output - `skillkit list` - Installed skills with size and context budget - `skillkit health` - Unused skills + metadata budget check - `skillkit health --json` - JSON output ### Sessions & Activity - `skillkit sessions` - Daily usage across all agents - `skillkit graph` - 52-week contribution heatmap - `skillkit graph --json` - JSON output - `skillkit auto` - Auto-scan after Claude Code sessions (SessionEnd hook) ### Cost Analysis - `skillkit context` - Context tax: tokens + cost of CLAUDE.md, skills, memory per API call - `skillkit context --sonnet --turns 60` - Custom model pricing and session length (default: sonnet) - `skillkit context --opus` / `--haiku` - Other model pricing - `skillkit context --json` - JSON output - `skillkit burn` - Subscription burn rate analysis (cost, models, daily) - `skillkit burn --days 7` - Custom range - `skillkit burn --plan 200` - Monthly plan cost in USD (default: 200) - `skillkit burn --json` - JSON output ### Quality & Conflicts - `skillkit conflicts` - Detect trigger collisions between skills - `skillkit coverage <skill-path>` - Find dead weight (unreferenced sections + files) ### Cleanup - `skillkit prune` - List unused skills - `skillkit prune --yes` - Confirm deletion - `skillkit prune --skill <name>` - Prune a single skill - `skillkit prune --yes --json` - Confirm and output JSON ### Trace (Internal) - `skillkit trace <prompt>` - Record skill execution trace (powers conflicts + coverage) - `skillkit trace --list` - List recent traces - `skillkit trace --list --json` - List recent traces as JSON - `skillkit trace --show <id>` - Show trace details - `skillkit trace --model <model>` - Model to use for trace ### Agent Filters Any command accepts agent filters: `--claude`, `--cursor`, `--codex`, `--gemini`, `--windsurf`, `--amp`, `--goose`, `--kiro`, `--roo`, `--opencode` ## When to Use - "which skills do I use the most?" -> `skillkit stats` - "are there unused skills?" -> `skillkit health` then `skillkit prune` - "what's my context tax?" -> `skillkit context` - "how much am I spending?" -> `skillkit burn` - "do any skills conflict?" -> `skillkit conflicts` - "is this skill bloated?" -> `skillkit coverage <path>` - "show my activity heatmap" -> `skillkit graph` - "daily usage breakdown" -> `skillkit sessions` ## Decision Guide 1. First time? `skillkit stats` -- auto-discovers and indexes everything 2. Full picture? `skillkit stats --all --days 90` 3. Activity? `skillkit sessions` then `skillkit graph` 4. Context tax? `skillkit context` 5. Cost check? `skillkit burn` 6. Conflicts? `skillkit conflicts` 7. Dead weight? `skillkit coverage ~/.claude/skills/my-skill/` 8. Cleanup? `skillkit health` then `skillkit prune --yes` ## How It Works Discovers skills across 12 agents: Claude Code, Cursor, Codex, Gemini CLI, Windsurf, Amp, Continue, Goose, Kiro, Roo Code, Antigravity, OpenCode. Session connectors parse JSONL/JSON traces for Claude, Cursor, Codex, Gemini, and OpenCode. Deduplicates skills by name and inode. Self-healing DB deduplication on open. All data local in `~/.skillkit/analytics.db`. Plan config stored in `~/.skillkit/config.json`.
Related in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.