openclaw-pr-maintainer/SKILL.md
Review, triage, close, label, comment on, or land OpenClaw PRs/issues with maintainer evidence checks.
npx skillsauth add adminlove520/xiaoxi-skills openclaw-pr-maintainerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Use this skill for maintainer-facing GitHub workflow, not for ordinary code changes.
$gitcrawl first anytime you inspect OpenClaw issues or PRs.gitcrawl data first for related threads, duplicate attempts, and already-landed fixes.gitcrawl for candidate discovery and clustering; use gh, gh api, and the current checkout to verify live state before commenting, labeling, closing, or landing.gitcrawl is missing, stale, lacks the target thread, or has no embeddings for neighbor/search commands, fall back to the GitHub search workflow below.gitcrawl sync --include-comments, future enrichment commands, or broad reclustering unless the user asked to update the local store or stale data is blocking the decision.Common read-only path:
gitcrawl threads openclaw/openclaw --numbers <issue-or-pr-number> --include-closed --json
gitcrawl neighbors openclaw/openclaw --number <issue-or-pr-number> --limit 12 --json
gitcrawl search openclaw/openclaw --query "<scope or title keywords>" --mode hybrid --json
gitcrawl cluster-detail openclaw/openclaw --id <cluster-id> --member-limit 20 --body-chars 280 --json
.github/workflows/auto-response.yml handle the comment/close/lock flow.r:* labels can be used on both issues and PRs.r: skillr: supportr: no-ci-prr: too-many-prsr: testflightr: third-party-extensionr: moltbookr: spaminvaliddirty for PRs onlyr: third-party-extension auto-response label when it applies; it points contributors to publish on ClawHub.-F - <<'EOF' for real newlines. Never embed \n.gh issue/pr comment -b "..." when the body contains backticks or shell characters. Prefer a single-quoted heredoc.#24643 in backticks when you want auto-linking.gitcrawl first. Then use targeted GitHub keyword search to verify gaps, live status, comments, and candidates not present in the local store.--repo openclaw/openclaw with --match title,body first when using gh search.--match comments when triaging follow-up discussion or closed-as-duplicate chains.Examples:
gh search prs --repo openclaw/openclaw --match title,body --limit 50 -- "auto-update"
gh search issues --repo openclaw/openclaw --match title,body --limit 50 -- "auto-update"
gh search issues --repo openclaw/openclaw --match title,body --limit 50 \
--json number,title,state,url,updatedAt -- "auto update" \
--jq '.[] | "\(.number) | \(.state) | \(.title) | \(.url)"'
/landpr process.scripts/committer "<msg>" <file...> for scoped commits instead of manual git add and git commit..github/pull_request_template.md for PR submissions and .github/ISSUE_TEMPLATE/ for issues..github/pr-assets; attach them to the PR/comment or use an external artifact store instead.sync means: if the tree is dirty, commit all changes with a sensible Conventional Commit message, then git pull --rebase, then git push. Stop if rebase conflicts cannot be resolved safely.data-ai
Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with adaptive scheduling, and export/import decks as CSV.
development
Canvas LMS integration — fetch enrolled courses and assignments using API token authentication.
development
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
devops
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.