io.github.NousResearch/hermes-agent/touchdesigner-mcp

Control TouchDesigner via twozero MCP.

io.github.NousResearch/hermes-agent/research-paper-writing

Write ML papers for NeurIPS/ICML/ICLR: design→submit.

io.github.NousResearch/hermes-agent/sketch

Throwaway HTML mockups: 2-3 design variants to compare.

io.github.NousResearch/hermes-agent/requesting-code-review

Pre-commit review: security scan, quality gates, auto-fix.

io.github.NousResearch/hermes-agent/agent-merge-conflict-arbiter

Neutral arbiter for merge conflicts between two agents.

io.github.twentyhq/twenty/qa-scout

Browser QA of a PR against a running Twenty app, post-merge on main or pre-merge via the qa-scout label. Derives user-visible scenarios from the PR diff, executes them with the Playwright MCP browser, attests database effects over SQL, watches server and worker logs for swallowed errors, and writes a structured verdict plus a report. Invoked by ci-e2e-main.yaml after the deterministic e2e suite; also runnable locally against a dev stack.

io.github.NousResearch/hermes-agent/impeccable

Frontend design guidance, upstream-maintained (impeccable).

io.github.NousResearch/hermes-agent/test-driven-development

TDD: enforce RED-GREEN-REFACTOR, tests before code.

io.github.NousResearch/hermes-agent/hermes-agent-skill-authoring

Author in-repo SKILL.md files: frontmatter and structure.

io.github.pingdotgg/t3code/test-t3-mobile

Launch and test T3 Code Mobile on an iOS Simulator or Android Emulator against disposable local T3 environments, including Metro and dev-client reuse, native rebuild decisions, per-client pairing, seeded projects, semantic UI control, screenshots, and iOS serve-sim streaming. Use after mobile UI or native changes, when reproducing phone or tablet behavior, pairing an emulator to isolated state, or verifying mobile behavior on macOS, Linux, or Windows.

io.github.affaan-m/ECC/skill-comply

Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines. Use when checking whether agents actually follow the skills, rules, and definitions they were given, rather than assuming they do.

io.github.paperclipai/paperclip/prepare-mcp-integration

Prepare MCP/vendor integrations through cited research, a content PR, exact-revision human approval, and one governed Paperclip connector PR per approved connection. Use for new integration research and delivery; not for ad hoc connector coding that bypasses the playbooks.

io.github.thedotmack/claude-mem/version-bump

Automated semantic versioning and release workflow for Claude Code plugins. Handles version increments across package.json, marketplace.json, plugin.json manifests, build verification, git tagging, GitHub releases, and changelog generation. NPM publishing is the final human-required handoff because the maintainer raised npm security.

io.github.K-Dense-AI/scientific-agent-skills/rowan

Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. Ideal for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU infrastructure.

io.github.code-yeongyu/oh-my-openagent/data-scientist

Expert data processing with a hybrid engine strategy: resident-kernel engines first - DuckDB plus a resident Python stack (Polars/numpy/matplotlib) in persistent js/py eval kernels where the harness has them, bun/uv one-shots elsewhere - and per-action placement judgment (in-memory vs streaming vs remote-in-place). Triggers: 'analyze the data', 'what is in this CSV/parquet/json', 'summarize this', 'group by', 'filter rows', 'sort by', 'join these files', 'merge datasets', 'time series trend', 'compare yesterday and today', 'distribution/histogram', 'correlation', 'clean duplicates', 'handle missing values', 'dataset larger than RAM', 'SQL query on files', 'DataFrame operations', 'chart/plot this data', DuckDB vs Polars selection, quick data exploration CLI. NOT for plain text/code inspection, configs, or tiny inline math.

io.github.openclaw/openclaw/acp-router

Route plain-language requests for Claude Code, Cursor, Copilot, OpenClaw ACP, OpenCode, Gemini CLI, Qwen, Kiro, Kimi, iFlow, Factory Droid, Kilocode, or explicit ACP harness work into either OpenClaw ACP runtime sessions or direct acpx-driven sessions ("telephone game" flow). For coding-agent thread requests, read this skill first, then use only `sessions_spawn` for thread creation. Codex chat binding defaults to the native Codex app-server plugin unless ACP is explicit or background spawn needs ACP.

io.github.deepseek-ai/deepseek-harness/dsh-ci-test-reliability

Design, review, and diagnose DeepSeek Harness tests and fixtures that can fail nondeterministically under CI concurrency, shared host resources, clocks, process-global state, subprocesses, network listeners, or asynchronous teardown. Use when adding or changing tests with those risks, investigating flaky CI, or reviewing test isolation; use dsh-pre-push-checks separately to select outgoing commands.

io.github.browser-use/browser-use/remote-browser

Controls an isolated Browser Use Cloud browser from a sandboxed machine with the current Browser Use CLI.

io.github.affaan-m/ECC/cost-aware-llm-pipeline

Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching. Use when LLM spend needs to come down, or when routing tasks across model tiers and budgets.

io.github.affaan-m/ECC/cost-aware-llm-pipeline

LLM API 使用成本优化模式 —— 基于任务复杂度的模型路由、预算跟踪、重试逻辑和提示缓存。

io.github.affaan-m/ECC/cost-aware-llm-pipeline

LLM APIの使用量のコスト最適化パターン — タスクの複雑さによるモデルルーティング、予算追跡、リトライロジック、プロンプトキャッシング。

io.github.warpdotdev/warp/factory-files

Create and edit file-based Warp software factory definitions, in a repository tree rooted at a factory.yaml. Use when authoring or changing that factory.yaml, Agent, Automation, Scorer, Runner, or Webhook files under that root, or its factory and agent skill trees, and when fixing Factory file diagnostics. Do not use for agent-definition Markdown that belongs to another tool, for a tree with no factory.yaml, or to operate a live factory or hand work to one through Factory MCP.

io.github.affaan-m/ECC/exa-search

Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.

io.github.openclaw/openclaw/browser-automation

Use when controlling web pages with the OpenClaw browser tool, especially multi-step flows, login checks, tab management, or recovery from stale refs/timeouts.