Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available
npx skills add https://github.com/vibeeval/vibecosystem --skill help
Guide users through the capabilities of this workspace setup.
/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
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 |
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.
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 |
Display CLI tools and capabilities:
## Built-in Tools
### TLDR Code Analysis
Token-efficient code exploration (95% savings vs reading raw files).
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.
(cd opc && uv run python scripts/core/recall_learnings.py --query "hook patterns")
/remember "Hook X works by..."
### Premortem Risk Analysis
Identify failure modes before they occur.
/premortem [plan-file] # Analyze implementation plan for risks
Display active hooks:
## 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 |
Display advanced customization:
## Advanced: Customization & Extension
### Skill Frontmatter
Skills use YAML frontmatter for metadata and tool restrictions:
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: sonnet|haiku|claude-opus-4-5-20251101
tools: [Read, Grep, Glob, Bash]
### 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
### Creating Custom Agents
For specific skill/agent lookup:
.claude/skills/<name>/SKILL.md.claude/agents/<name>.mdTo keep help current, dynamically read frontmatter:
# 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
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
Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration
Format and structurally validate local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and release gates—not for clinical decision-making.
> provider/change budget/修改卖家/修改预算/draft/草稿/我的任务/my tasks/what am I working on/关闭/取消任务/决策列表/decision list/指定服务商/browse (sender.role = COUNTERPARTY, not you); (3) literal "Read the okx-ai skill" (or legacy "Read the okx-agent-task skill") in the envelope.
Automate payer review of prior authorization (PA) requests. This skill should be used when users say "Review this PA request", "Process prior authorization for [procedure]", "Assess medical necessity", "Generate PA decision", or when processing clinical documentation for coverage policy validation and authorization decisions.
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability.
Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order.
Structured persuasion for tech leads, PMs, and founders—not activity logs. Five scenarios (kickoff, status update, wrap-up, investor pitch, solution selling) on one 5-part framework (Hook→Context→Proposal→Evidence→Ask). AI prompts for missing materials and audience context; pre-submit checklist. Claude Code plugin; Cursor, Codex, and chat via prompts.
Take vibeeval/help from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.