38,215 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Connect MCP servers (Stdio/SSE/StreamableHTTP) to a Continuum agent, configure tool filtering, set up tool-context capture/injection (e.g. sessionid), and read run artifacts (UI widgets, structured tool data). Invoke when the user asks "connect MCP", "filesystem tool", "remote API tool", "auto-capture sessionid"…
A suite of composable skills (Claude + OpenAI Codex) for taking an idea from fuzzy to validated to sequenced build to shipped, by hand or on autopilot: a manual tier (ideate, deep-dive, prompt-pack) and an autonomous tier (autopilot, build-loop, audit-and-fix).
★not rated 83 1mo agoA
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originalMIT
MCP server "oreilly-cca-mcp" as configured in timothywarner-org/claude-architect. Runs locally from the ${PROJECT_ROOT}/examples/mcp_cli Python package.
★not rated 83▲
+2 2mo agoA
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originalMIT
A checklist and workflow for reviewing agent skills. It checks the skill's metadata, instructions, folder structure, and supporting files against recommended standards.
Build, run, and deploy an AI agent using the aixyz framework. Use this skill when creating a new agent, adding tools, wiring up A2A/MCP protocols, configuring x402 micropayments, or deploying to Vercel.
AI agentic skills framework for spec-driven development — mafia-syndicate hierarchy with adversarial brainstorming, institutional memory, and governance guardrails.
★not rated 82▲
+1 1mo agoA
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originalMIT
Lead of the Kingdee MCP Dev Squad. Coordinates WebAPI integration, MCP tool implementation, QA and PyPI release to fully cover the Kingdee OpenAPI (ApiDoc) interfaces inside kingdee-mcp.
Delegate tasks to AI agents via Box0. Use when the user asks to review code, check security, run tests, compare tools, get multiple perspectives, research a topic, analyze data, write docs, or any task that could benefit from specialized or parallel execution. Also use when the user mentions agent names or says "ask"…
When a task decomposes into independent slices — separate files, OR separate sections of ONE file — fan it out: write job files to the subagent queue and the host runs real parallel Codex workers for you. For a single file, extract per-section slice files into the queue's work/ zone, let workers polish them in…
Guide for developing LLM agents based on PuerTsAgent framework — covers resource directory structure, system-prompt, skills, builtin modules, and best practices.
A task conductor for Claude Code: multi-agent orchestration with an enforced evidence contract, repo-specific learning, and update-safe local evolution.
★not rated 80▲
+7 11d agoA
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originalApache-2.0
The team-architecture factory for Claude Code and Codex — a meta-skill that turns a domain description into an agent team and the skills they use, with six team patterns (Pipeline, Fan-out/Fan-in, Expert Pool, Producer-Reviewer, Supervisor, Hierarchical Delegation), a two-layer quality gate (internal QA + external…
★not rated 80
changed yesterdayA
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originalApache-2.0
Standards written and audited by Claude Fable 5: make Opus, Sonnet, GPT, or Gemini produce work close to its bar. 21 craft rubrics, best-of-N candidates, convergence sweeps, a taste gate with permanent distillation.
★not rated 80 2mo agoA
tokens not measured
originalMIT
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