claude-code-analyzer
Analyzes Claude Code usage patterns and provides comprehensive recommendations. Runs usage analysis, discovers GitHub community resources, suggests CLAUDE.md improvements, and fetches latest docs on-demand. Use when user wants to optimize their Claude Code workflow, create configurations (agents/skills/commands), or set up project documentation.
What this skill does
# Claude Code History Analyzer
Complete workflow optimization for Claude Code through usage analysis, community discovery, and intelligent configuration generation.
## Core Capabilities
This skill provides a complete Claude Code optimization workflow:
**1. Usage Analysis** - Extracts patterns from Claude Code history
- Tool usage frequency
- Auto-allowed tools vs actual usage
- Model distribution
- Project activity levels
**2. GitHub Discovery** - Finds community resources automatically
- Skills matching your tools
- Agents for your workflows
- Slash commands for common operations
- CLAUDE.md examples from similar projects
**3. Project Analysis** - Detects tech stack and suggests documentation
- Package manager and scripts
- Framework and testing setup
- Docker, CI/CD, TypeScript configuration
- Project-specific CLAUDE.md sections
**4. On-Demand Documentation** - Fetches latest Claude Code docs
- Agents/subagents structure and configuration
- Skills architecture and bundled resources
- Slash commands with MCP integration
- CLAUDE.md best practices from Anthropic teams
- Settings and environment variables
## Complete Analysis Workflow
When user asks to optimize their Claude Code setup, follow this workflow:
### Step 1: Run Usage Analysis
```bash
bash scripts/analyze.sh --current-project
```
This automatically:
- Extracts tool usage from JSONL files
- Checks auto-allowed tools configuration
- Analyzes model distribution
- **Searches GitHub for community resources** (always enabled)
### Step 2: Run Project Analysis
```bash
bash scripts/analyze-claude-md.sh
```
This detects:
- Package manager (npm, pnpm, yarn, cargo, go, python)
- Framework (Next.js, React, Django, FastAPI, etc.)
- Testing setup (Vitest, Jest, pytest, etc.)
- CI/CD, Docker, TypeScript, linting configuration
### Step 3: Interpret Combined Results
Combine insights from both analyses:
**Usage patterns** show:
- Tools used frequently but requiring approval → Add to auto-allows
- Auto-allowed tools never used → Remove from config
- Repetitive bash commands → Create slash commands
- Complex workflows → Create dedicated agents
- Domain-specific tasks → Build custom skills
**GitHub discovery** provides:
- Similar configurations from community
- Proven patterns for your tool usage
- Example agents/skills/commands to adapt
**Project analysis** reveals:
- Required CLAUDE.md sections
- Framework-specific conventions to document
- Testing and build commands to include
### Step 4: Fetch Docs and Create Configurations
Based on recommendations, fetch latest docs and create:
**For frequently used tools** → Update auto-allows:
```bash
# Fetch settings docs
web_fetch: https://docs.claude.com/en/docs/claude-code/settings
# Update ~/.claude/settings.json
```
**For repetitive commands** → Create slash command:
```bash
# Fetch slash commands docs
web_fetch: https://docs.claude.com/en/docs/claude-code/slash-commands
# Create .claude/commands/[command-name].md
```
**For complex workflows** → Create agent:
```bash
# Fetch agents docs
web_fetch: https://docs.claude.com/en/docs/claude-code/sub-agents
# Create .claude/agents/[agent-name].md
```
**For reusable domain knowledge** → Build skill:
```bash
# Fetch skills docs
web_fetch: https://docs.claude.com/en/docs/agents-and-tools/agent-skills/overview
# Create .claude/skills/[skill-name]/SKILL.md
```
**For project context** → Write CLAUDE.md:
```bash
# Fetch CLAUDE.md best practices
web_fetch: https://www.anthropic.com/engineering/claude-code-best-practices
# Create .claude/CLAUDE.md with detected info
```
## Example: Complete Optimization Session
**User**: "Help me optimize my Claude Code setup"
**Claude executes**:
1. **Analyze usage patterns**
```bash
bash scripts/analyze.sh --current-project
```
Finds: Bash tool used 150 times, Read 80 times, Write 45 times
Auto-allows: None configured
GitHub: Discovers community skills for TypeScript testing
2. **Analyze project structure**
```bash
bash scripts/analyze-claude-md.sh
```
Detects: Next.js project with Vitest, npm scripts: dev, build, test, lint
Missing: CLAUDE.md doesn't exist
3. **Make recommendations**
"I analyzed your Claude Code usage. Here's what I recommend:
**Auto-Allows**: You use Bash (150×), Read (80×), and Write (45×) constantly. Let me add them to auto-allows.
**Slash Command**: You run tests frequently. I'll create /test command.
**CLAUDE.md**: Your Next.js project needs documentation. I'll create one with your npm scripts and testing setup.
**Community Resource**: I found a TypeScript testing skill on GitHub that matches your workflow."
4. **Fetch docs and create configs**
Fetch settings docs → Update `~/.claude/settings.json`:
```json
{
"autoAllowedTools": ["Bash", "Read", "Write"]
}
```
Fetch slash commands docs → Create `.claude/commands/test.md`:
```markdown
---
name: /test
description: Run tests for current file or project
allowed-tools: [Bash]
---
Run tests: !npm test
```
Fetch CLAUDE.md best practices → Create `.claude/CLAUDE.md`:
```markdown
# Project Context
## Commands
- Dev: `npm run dev` (port 3000)
- Build: `npm run build`
- Test: `npm test`
- Lint: `npm run lint`
## Tech Stack
- Next.js 14
- TypeScript
- Vitest for testing
## Testing
Run tests before commits: `npm test`
```
5. **Share GitHub findings**
"I also found this community skill for TypeScript testing that you might find useful: [GitHub link]"
## When to Use Each Tool
### Use analyze.sh when:
- User asks to "analyze my workflow"
- Optimizing Claude Code setup
- Finding unused auto-allows
- Discovering community resources
- Understanding usage patterns
### Use analyze-claude-md.sh when:
- Creating CLAUDE.md
- Setting up new project
- User asks "what should I document?"
- Need project-specific recommendations
### Fetch docs when:
- Creating any configuration file
- User asks "how do I create an agent/skill/command?"
- Explaining configuration options
- Need current best practices
### Use GitHub discovery for:
- Finding proven patterns
- Learning from community
- Getting configuration examples
- Discovering new approaches
## Critical Documentation URLs
Always fetch latest docs before creating configurations:
| Type | URL |
|------|-----|
| Agents | https://docs.claude.com/en/docs/claude-code/sub-agents |
| Skills | https://docs.claude.com/en/docs/agents-and-tools/agent-skills/overview |
| Slash Commands | https://docs.claude.com/en/docs/claude-code/slash-commands |
| Settings | https://docs.claude.com/en/docs/claude-code/settings |
| CLAUDE.md | https://www.anthropic.com/engineering/claude-code-best-practices |
## Key Configuration Facts (from latest docs)
**Agents** (.md files with YAML frontmatter):
- Required: name, description
- Optional: tools (comma-separated), model (sonnet/opus/haiku/inherit)
- Location: `.claude/agents/` (project) or `~/.claude/agents/` (user)
- NOT .yaml files!
**Skills** (directory with SKILL.md):
- Structure: `skill-name/SKILL.md`
- Bundled resources: scripts/, references/, assets/
- Progressive loading: metadata → instructions → resources
- Location: `.claude/skills/`
**Slash Commands** (.md files):
- Required: name (with / prefix)
- Arguments: $ARGUMENTS, $1, $2
- Optional: allowed-tools, model, argument-hint
- Location: `.claude/commands/`
**CLAUDE.md** (project documentation):
- Hierarchical: user-level → parent → project → nested
- Include: commands, style guidelines, testing, issues
- Keep concise and actionable
- Location: `.claude/CLAUDE.md`
## Output Formats
### Usage Analysis JSON
```json
{
"tool_usage": [{"tool": "Bash", "count": 122}],
"auto_allowed_tools": [{"tool": "Read", "usage_count": 49}],
"model_usage": [{"model": "claude-sonnet-4-5-20250929", "count": 634}],
"github_discovery": {"searches": [...]}
}
```
### Project Analysis JSON
```json
{
"deRelated in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($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.