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github
Use the gh CLI for GitHub issues, PR status, CI/logs, comments, reviews, releases, and API queries.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Use the gh CLI for GitHub issues, PR status, CI/logs, comments, reviews, releases, and API queries.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | github |
| description | Use the gh CLI for GitHub issues, PR status, CI/logs, comments, reviews, releases, and API queries. |
| metadata | {"openclaw":{"emoji":"🐙","requires":{"bins":["gh"]},"install":[{"id":"winget","kind":"winget","package":"GitHub.cli"},{"id":"brew","kind":"brew","formula":"gh"},{"id":"apt","kind":"apt","package":"gh"}]},"tlamatini":{"runtime":"in-process","requires_tools":["chat_agent_executer"],"requires_mcps":[],"budget":{"max_iterations":6,"max_seconds":90,"max_tokens":12000},"permissions":{"filesystem":{"read":[],"write":[]},"shell":["gh auth status","gh pr *","gh issue *","gh run *","gh release *","gh api *"],"network":"allow","db":"deny"},"inputs":[{"name":"action","type":"string","required":true,"description":"PR list, PR view, issue create, run logs, etc."},{"name":"repo","type":"string","required":false}],"outputs":[{"name":"result","type":"string","required":true}],"triggers":{"keywords":["github","pr","pull request","gh","issue","run logs","release"]}}} |
Use the gh CLI for GitHub-side operations.
git directly.gh auth login once (interactive — do not attempt from this skill).gh auth status.gh command from ${input.action} and optional
${input.repo}.chat_agent_executer.{ result: <stdout> }.Run the daily automated Tlamatini chat regression — drive a visible Chrome via Playwright, log into agent_page.html, ask up to 1000 curated safe questions one-by-one (Multi-Turn ON, ACPX/Ask-Execs/Exec-Report/Internet OFF), wait for and qualify each answer (heuristic + LLM judge on failures), then write a dated report + summary. Invoke when the user says "run the daily chat test", "test Tlamatini with the 1000 questions", "daily Tlamatini regression", or schedules this test.
Turn a natural-language objective into a downloadable .flw workflow by driving the FlowCreator engine (full 83-agent catalog), then emit a canvas-loadable .flw.
The authoritative, exhaustive end-to-end runbook for creating a BRAND-NEW Tlamatini workflow agent — every surface, in order, with 530+ numbered steps across 26 phases. Invoke whenever Angela says "create a new agent", "add an agent", "make a <X>er agent", "I want a new canvas agent", or asks to wire any new pool agent across backend + frontend + Multi-Turn + Parametrizer + FlowCreator + FlowHypervisor + watchdog + config dialog + demo prompts + Python tests + Playwright harness tests + docs + packaging. Covers naming, coloring, the inputs/outputs connector contract in agentic_control_panel.html, the Multi-Turn (wrapped chat-agent) tool, Exec Report, the configuration dialog, automated unit tests AND Playwright tests in Claude's harness. Pairs with tlamatini-agent-naming (casing) and the @-imported create_new_agent.md / create_new_mcp.md.
Build and edit in Roblox Studio via the Roblox Studio MCP the RIGHT way - preflight the Studio connection, do the whole build in a few big execute_luau scripts (not dozens of tiny calls), make REALISTIC terrain with the Terrain VOXEL api driven by Perlin noise (NEVER stacked Parts or concentric layers - those give ugly blocky stepped pyramids), poll generative jobs, check the console, and fail honestly. Invoke for ANY "in Roblox / Roblox Studio" request - terrain, mountains, parts, scripts, models, materials, assets.
The authoritative 8-step contract for scaffolding a NEW Tlamatini workflow agent end-to-end (backend script + config.yaml, connection-update view + URL, migration seeding the Agent row, CSS gradient, four JS files, agentic_skill.md, README.md, lint). READ THIS BEFORE adding or renaming any of the 83 visual agents, before touching `agent/agents/<name>/`, before writing a `00NN_add_<name>.py` migration, before adding a `.canvas-item.<x>-agent` rule, or before extending the `acp-*.js` classMap / connectors. Companion to the `tlamatini-new-acp-agent` skill (which drives the procedure) and to `tlamatini-agent-naming` (the naming-convention guard).
Turn a one-sentence objective into a downloadable .flw workflow that wires the right Tlamatini visual agents and connections.