help

name	help
description	Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available
triggers	["help","what can you do","show capabilities","how do I"]
allowed-tools	["AskUserQuestion","Bash","Read","Glob","Grep"]
priority	high

/help - Workspace Discovery

Guide users through the capabilities of this workspace setup.

Usage

/help                    # Interactive guided discovery
/help workflows          # Workflow orchestration skills
/help agents             # Specialist agents catalog
/help tools              # CLI tools (tldr, prove, recall)
/help hooks              # Active hooks and what they do
/help advanced           # MCP, frontmatter, customization
/help <name>             # Deep dive on specific skill/agent

Behavior Based on Arguments

No Arguments: Interactive Discovery

Use AskUserQuestion to guide the user:

question: "What are you trying to do?"
header: "Goal"
options:
  - label: "Explore/understand a codebase"
    description: "Find patterns, architecture, conventions"
  - label: "Fix a bug"
    description: "Investigate, diagnose, implement fix"
  - label: "Build a feature"
    description: "Plan, implement, test new functionality"
  - label: "Prove something mathematically"
    description: "Formal verification with Lean 4"

Based on response, show relevant tools:

Goal	Show
Explore codebase	scout agent, tldr CLI, /explore workflow
Fix a bug	/fix workflow, sleuth agent, debug-agent
Build feature	/build workflow, architect agent, kraken agent
Prove math	/prove skill, lean4 skill, Godel-Prover
Research docs	oracle agent, nia-docs, perplexity
Configure workspace	hooks, rules, settings, frontmatter

/help workflows

Display workflow meta-skills:

## Workflow Skills

Orchestrate multi-agent pipelines for complex tasks.

| Workflow | Purpose | Agents Used |
|----------|---------|-------------|
| /fix | Bug investigation → diagnosis → implementation | sleuth → kraken → arbiter |
| /build | Feature planning → implementation → testing | architect → kraken → arbiter |
| /debug | Deep investigation of issues | debug-agent, sleuth |
| /tdd | Test-driven development cycle | arbiter → kraken → arbiter |
| /refactor | Code transformation with safety | phoenix → kraken → judge |
| /review | Code review and feedback | critic, judge |
| /security | Vulnerability analysis | aegis |
| /explore | Codebase discovery | scout |
| /test | Test execution and validation | arbiter, atlas |
| /release | Version bumps, changelog | herald |
| /migrate | Framework/infrastructure changes | pioneer, phoenix |

**Usage**: Just describe your goal. Claude routes to the right workflow.

/help agents

Display agent catalog:

## Specialist Agents

Spawn via Task tool with subagent_type.

### Exploration & Research
| Agent | Purpose | Model |
|-------|---------|-------|
| scout | Codebase exploration, pattern finding | sonnet |
| oracle | External research (web, docs, APIs) | sonnet |
| pathfinder | External repository analysis | sonnet |

### Planning & Architecture
| Agent | Purpose | Model |
|-------|---------|-------|
| architect | Feature planning, design docs | sonnet |
| plan-agent | Create implementation plans | sonnet |
| phoenix | Refactoring & migration planning | sonnet |

### Implementation
| Agent | Purpose | Model |
|-------|---------|-------|
| kraken | TDD implementation, refactoring | sonnet |
| spark | Quick fixes, lightweight changes | haiku |

### Review & Validation
| Agent | Purpose | Model |
|-------|---------|-------|
| arbiter | Test execution, validation | sonnet |
| critic | Code review | sonnet |
| judge | Refactoring review | sonnet |

### Investigation
| Agent | Purpose | Model |
|-------|---------|-------|
| sleuth | Bug investigation, root cause | sonnet |
| debug-agent | Issue investigation with logs | sonnet |
| profiler | Performance, race conditions | sonnet |

### Documentation & Handoff
| Agent | Purpose | Model |
|-------|---------|-------|
| scribe | Documentation, session summaries | sonnet |
| chronicler | Session analysis, learning extraction | sonnet |

/help tools

Display CLI tools and capabilities:

## Built-in Tools

### TLDR Code Analysis
Token-efficient code exploration (95% savings vs reading raw files).

```bash
tldr tree src/              # File tree
tldr structure src/ --lang python  # Code structure (codemaps)
tldr search "pattern" src/  # Search files
tldr cfg file.py func       # Control flow graph
tldr dfg file.py func       # Data flow graph
tldr impact func src/       # Reverse call graph (who calls this?)
tldr dead src/              # Find dead code
tldr arch src/              # Detect architectural layers

/prove - Formal Verification

Machine-verified proofs without learning Lean syntax.

/prove every group homomorphism preserves identity
/prove continuous functions on compact sets are uniformly continuous

Requires: LM Studio running Godel-Prover model locally.

Memory System

Store and recall learnings across sessions.

# Recall past learnings
(cd opc && uv run python scripts/core/recall_learnings.py --query "hook patterns")

# Store new learning (via /remember skill)
/remember "Hook X works by..."

Premortem Risk Analysis

Identify failure modes before they occur.

/premortem [plan-file]     # Analyze implementation plan for risks

### /help hooks

Display active hooks:

```markdown
## Active Hooks

Hooks extend Claude's behavior at key lifecycle points.

### Session Lifecycle
| Hook | Event | Purpose |
|------|-------|---------|
| session-register | SessionStart | Register session in coordination DB |
| session-start-recall | SessionStart | Auto-inject relevant learnings |
| session-end-cleanup | SessionEnd | Cleanup temp files |
| session-outcome | SessionEnd | Prompt for session outcome |

### User Prompt Processing
| Hook | Event | Purpose |
|------|-------|---------|
| skill-activation-prompt | UserPromptSubmit | Suggest relevant skills |
| premortem-suggest | UserPromptSubmit | Suggest risk analysis for implementations |

### Tool Interception
| Hook | Event | Purpose |
|------|-------|---------|
| tldr-read-enforcer | PreToolUse:Read | Suggest tldr for large files |
| smart-search-router | PreToolUse:Grep | Route to ast-grep for structural search |
| file-claims | PreToolUse:Edit | Track which sessions edit which files |
| signature-helper | PreToolUse:Edit | Inject function signatures |
| import-validator | PostToolUse:Edit | Validate imports after edits |

### Validation
| Hook | Event | Purpose |
|------|-------|---------|
| typescript-preflight | PreToolUse:Bash | Type-check before running |
| compiler-in-the-loop | Stop | Run Lean compiler for /prove |

### Subagent Coordination
| Hook | Event | Purpose |
|------|-------|---------|
| subagent-start | SubagentStart | Initialize agent context |
| subagent-stop | SubagentStop | Extract learnings from agents |

/help advanced

Display advanced customization:

## Advanced: Customization & Extension

### Skill Frontmatter
Skills use YAML frontmatter for metadata and tool restrictions:

```yaml
---
name: my-skill
description: What it does
triggers: ["keyword1", "keyword2"]
allowed-tools: [Bash, Read, Edit]
priority: high
skills: [other-skill]  # Auto-load dependencies
---

Agent Frontmatter

Agents declare their capabilities:

---

name: my-agent
description: Specialist for X
model: inherit # Claude adapter example; Codex uses luna_worker
tools: [Read, Grep, Glob, Bash]
---

The model field above is Claude-adapter metadata. Codex does not select a model from skill or agent examples; the bounded luna_worker contract remains authoritative.

MCP Servers

External tool integrations:

Server	Purpose
ast-grep	Structural code search/refactoring
firecrawl	Web scraping
github-search	Search GitHub code/issues
morph	Fast file editing (10k tokens/sec)
nia	Documentation search
perplexity	AI-powered web research

Rules (.claude/rules/*.md)

Always-on instructions injected into context:

• claim-verification.md - Verify before asserting
• dynamic-recall.md - How to use memory system
• tldr-cli.md - TLDR usage reference

Creating Custom Skills

mkdir -p .claude/skills/my-skill
# Create .claude/skills/my-skill/SKILL.md with frontmatter

Creating Custom Agents

# Create .claude/agents/my-agent.md with frontmatter

### /help <specific-name>

For specific skill/agent lookup:

1. Search for matching skill: `.claude/skills/<name>/SKILL.md`
2. Search for matching agent: `.claude/agents/<name>.md`
3. Read the file and display:
   - Description
   - Usage examples
   - When to use
   - Related skills/agents

## Dynamic Discovery

To keep help current, dynamically read frontmatter:

```bash
# List all skills with descriptions
for f in .claude/skills/*/SKILL.md; do
  head -10 "$f" | grep -E "^(name|description):"
done

# List all agents
for f in .claude/agents/*.md; do
  head -10 "$f" | grep -E "^(name|description):"
done

Example Interaction

User: /help

Claude:

What are you trying to do?

[ ] Explore/understand a codebase
    Find patterns, architecture, conventions

[ ] Fix a bug
    Investigate, diagnose, implement fix

[ ] Build a feature
    Plan, implement, test new functionality

[ ] Prove something mathematically
    Formal verification with Lean 4

[Other: describe your goal]

User selects: "Fix a bug"

Claude:

## Bug Fixing Tools

### Quick Path
Just describe the bug. I'll use the /fix workflow automatically.

### Manual Control
- **sleuth** agent: Deep investigation, root cause analysis
- **debug-agent**: Log analysis, state inspection
- **kraken** agent: TDD implementation of fix

### Commands
- `/fix` - Full workflow (investigate → diagnose → implement → test)
- `/debug` - Investigation only

### Tips
- Provide error messages, logs, reproduction steps
- The premortem hook will suggest risk analysis before implementation