~ / rigs / cablate / ai-toolkit

cablate/ai-toolkit

Battle-tested Claude Code skills for relentless AI delivery

↗ GitHub ★ 4 mit updated 6mo ago project Claude Code
share on X
ARCHETYPE
Orchestrator
A bench of specialised subagents. The main agent mostly delegates.
CONTEXT TAX · EVERY TURN
~759 tokens
Featherweight · median rig: 2.3k · breakdown
GUARDRAILS
0/5
No committed guardrails · details

Copy this rig

# review before running: this installs third-party code
$ npx degit cablate/ai-toolkit/agents ./rig-ai-toolkit/agents
$ npx degit cablate/ai-toolkit/skills ./rig-ai-toolkit/skills

MCP servers are added to Claude Code at local scope; env vars are shown as YOUR_… placeholders — we never store values. Files are fetched with degit into a separate folder so you can review before merging.

$ npx degit cablate/ai-toolkit/skills/agentskill-expertise .claude/skills/agentskill-expertise
$ npx degit cablate/ai-toolkit/skills/handoff .claude/skills/handoff
$ npx degit cablate/ai-toolkit/skills/project-docs .claude/skills/project-docs
$ npx degit cablate/ai-toolkit/skills/self-growth .claude/skills/self-growth
$ npx degit cablate/ai-toolkit/skills/thorough .claude/skills/thorough
$ npx degit cablate/ai-toolkit/skills/vector-memory .claude/skills/vector-memory
$ curl -fsSL --create-dirs -o .claude/agents/agent-factory.md https://raw.githubusercontent.com/cablate/ai-toolkit/master/agents/agent-factory.md
$ curl -fsSL --create-dirs -o .claude/agents/analyst.md https://raw.githubusercontent.com/cablate/ai-toolkit/master/agents/analyst.md
$ curl -fsSL --create-dirs -o .claude/agents/builder.md https://raw.githubusercontent.com/cablate/ai-toolkit/master/agents/builder.md
$ curl -fsSL --create-dirs -o .claude/agents/doc-sync.md https://raw.githubusercontent.com/cablate/ai-toolkit/master/agents/doc-sync.md
$ curl -fsSL --create-dirs -o .claude/agents/investigator.md https://raw.githubusercontent.com/cablate/ai-toolkit/master/agents/investigator.md
$ curl -fsSL --create-dirs -o .claude/agents/reviewer.md https://raw.githubusercontent.com/cablate/ai-toolkit/master/agents/reviewer.md

This rig commits no guardrails. Here is the community baseline instead — the deny/ask rules most often found across all 7,204 rigs:

{
  "permissions": {
    "deny": [
      "Read(./.env)",
      "Read(**/.env)",
      "Read(~/.ssh/**)",
      "Bash(rm -rf *)",
      "Read(**/*.pem)",
      "Bash(rm -rf /)",
      "Bash(git push --force:*)",
      "Bash(sudo *)",
      "Read(.env)",
      "Bash(rm -rf /*)",
      "Read(./.env.*)",
      "Read(~/.aws/**)",
      "Bash(git push --force*)",
      "Bash(rm -rf:*)",
      "Read(**/*.key)",
      "Read(**/.env.*)",
      "Bash(sudo:*)",
      "Bash(git reset --hard*)",
      "Bash(git reset --hard:*)",
      "Read(.env.*)"
    ],
    "ask": [
      "Bash(git push:*)",
      "Bash(git push *)",
      "Bash(git commit:*)",
      "Bash(rm *)",
      "Bash(rm:*)",
      "Bash(git rebase *)",
      "Bash(wget *)",
      "Bash(npm publish:*)",
      "Bash(git commit *)",
      "Bash(gh pr merge *)"
    ]
  }
}

Skills (6)

Subagents (6)

agent-factory
model: opus
Design and generate new agent prompts. Use when: creating a new specialized agent from scratch, converting a workflow into an agent, or improving an existing agent's prompt quality.
analyst
model: sonnet
Architecture design, implementation planning, codebase audit. Use when: deciding HOW to build something, evaluating approaches, auditing codebase health. Read-only — produces analysis and plans, never
builder
model: sonnet
Code implementation, modification, and test writing/fixing. Use when: writing new code, changing existing code, writing tests, fixing tests, implementing a plan. Write mode — creates and modifies file
doc-sync
model: haiku
Documentation initialization and sync. Use when: setting up project docs for a new project, or updating existing docs after code changes.
investigator
model: haiku
Codebase search, module exploration, root cause diagnosis, external research. Use when: finding WHERE something is, understanding HOW something works, diagnosing WHY something fails. Read-only — produ
reviewer
model: sonnet
Code quality review and dead code cleanup. Use when: reviewing changes for bugs/security issues, finding unused code, cleaning up after implementation. Can auto-fix mechanical issues (unused imports,

Similar rigs

copied ✓