GitHub Review Iteration
prisma/orm
Runs a loop on a GitHub pull request: fetch review state, triage comments into actions, implement them and resolve threads, repeating until nothing actionable is left.
Select, review, repair, validate, and land batches of up to 20 low-risk OpenClaw contributor pull requests using Vincent's maintainer preferences and bounded sub-agent lanes.
$ npx skills add vincentkoc/dotskills --skill openclaw-pr-batch-sweep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vincentkoc/dotskills openclaw-pr-batch-sweep --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/vincentkoc/dotskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw-pr-batch-sweep .claude/skills/openclaw-pr-batch-sweep && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "openclaw-pr-batch-sweep" agent skill from https://github.com/vincentkoc/dotskills/tree/main/skills/openclaw-pr-batch-sweep into .claude/skills/openclaw-pr-batch-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-pr-batch-sweep", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vincentkoc/dotskills/tree/main/skills/openclaw-pr-batch-sweepType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vincentkoc/dotskills --skill openclaw-pr-batch-sweep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vincentkoc/dotskills openclaw-pr-batch-sweep --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vincentkoc/dotskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openclaw-pr-batch-sweep .agents/skills/openclaw-pr-batch-sweep && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "openclaw-pr-batch-sweep" agent skill from https://github.com/vincentkoc/dotskills/tree/main/skills/openclaw-pr-batch-sweep into .agents/skills/openclaw-pr-batch-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-pr-batch-sweep", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vincentkoc/dotskills --skill openclaw-pr-batch-sweep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vincentkoc/dotskills openclaw-pr-batch-sweep --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vincentkoc/dotskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openclaw-pr-batch-sweep .cursor/skills/openclaw-pr-batch-sweep && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "openclaw-pr-batch-sweep" agent skill from https://github.com/vincentkoc/dotskills/tree/main/skills/openclaw-pr-batch-sweep into .cursor/skills/openclaw-pr-batch-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-pr-batch-sweep", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vincentkoc/dotskills.git --path skills/openclaw-pr-batch-sweep--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vincentkoc/dotskills --skill openclaw-pr-batch-sweep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vincentkoc/dotskills openclaw-pr-batch-sweep --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vincentkoc/dotskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openclaw-pr-batch-sweep .gemini/skills/openclaw-pr-batch-sweep && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "openclaw-pr-batch-sweep" agent skill from https://github.com/vincentkoc/dotskills/tree/main/skills/openclaw-pr-batch-sweep into .gemini/skills/openclaw-pr-batch-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-pr-batch-sweep", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vincentkoc/dotskills openclaw-pr-batch-sweepInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vincentkoc/dotskills --skill openclaw-pr-batch-sweep -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vincentkoc/dotskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openclaw-pr-batch-sweep .github/skills/openclaw-pr-batch-sweep && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "openclaw-pr-batch-sweep" agent skill from https://github.com/vincentkoc/dotskills/tree/main/skills/openclaw-pr-batch-sweep into .github/skills/openclaw-pr-batch-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-pr-batch-sweep", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vincentkoc/dotskills --skill openclaw-pr-batch-sweep -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vincentkoc/dotskills openclaw-pr-batch-sweep --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vincentkoc/dotskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openclaw-pr-batch-sweep .opencode/skills/openclaw-pr-batch-sweep && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "openclaw-pr-batch-sweep" agent skill from https://github.com/vincentkoc/dotskills/tree/main/skills/openclaw-pr-batch-sweep into .opencode/skills/openclaw-pr-batch-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-pr-batch-sweep", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
openclaw-pr-batch-sweepSelect, review, repair, validate, and land batches of up to 20 low-risk OpenClaw contributor pull requests using Vincent's maintainer preferences and bounded sub-agent lanes.
Openclaw PR Batch Sweep is an agent skill from vincentkoc/dotskills. Select, review, repair, validate, and land batches of up to 20 low-risk OpenClaw contributor pull requests using Vincent's maintainer preferences and bounded sub-agent lanes. Use for "next 20", broad contributor PR sweeps, merge-candidate mining, or continued PR-batch work where drafts, maintainer work, trivial one-line changes, UI, security, migrations, and high-risk changes must be excluded.
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `references/decision-ledger.json` and `references/operator-selection-policy.md`).
It sits in Development, covering Subagents and Pull requests. The repository describes itself as: 🐙 A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns. The licence is MIT.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b83ca13. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 4 files in scripts/ (JavaScript), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Openclaw PR Batch Sweep loads about 4.1k tokens when it runs, and up to ~59k if it reads all its reference files. Until then it costs about 105 tokens; SKILL.md has 1,908 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from vincentkoc/dotskills at commit b83ca13, republished under its MIT licence (© vincentkoc). 1,908 words, ~4,075 tokens.
.claude/skills/openclaw-pr-batch-sweep/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.Drive a continuing queue of real, low-risk OpenClaw contributor bug fixes through qualification, repair, proof, and landing. Work in batches of up to 20 without padding the batch with micro-patches, speculative cleanup, or risky surfaces.
Requires ghx, gitcrawl, gwt, and the OpenClaw maintainer, testing, autoreview, Crabbox, and ClawSweeper skills.
Read references/operator-selection-policy.md before selecting candidates. Read references/worker-contract.md before spawning sub-agents. Read and update references/decision-ledger.json so fresh runs inherit prior landed, rejected, closed, and explicitly skipped PRs.
Compose the repository skills instead of duplicating them:
$openclaw-pr-maintainer for live GitHub evidence and mutations.$openclaw-landable-bug-sweep for proof, repair, and landing.$gitcrawl for discovery and duplicate clusters.$openclaw-testing, $crabbox, and $autoreview for validation.$clawsweeper for readiness labels and exact-head review evidence.next 20, continue the PR sweep, or asks for another batch.Recover and continue the existing queue.
auditWatermark when present. Use openPrThrough as the default floor for newly created PR discovery instead of rehydrating an unchanged live edge.main, live PR state, repo instructions, VISION.md, disk, and worktree health.Discover broadly, then reject aggressively.
Start with gitcrawl; verify live state with ghx. If gitcrawl is stale, malformed, or unavailable, fall through immediately to live ghx.
Run discovery and hydration shell calls serially on the maintainer host. Do not fan out gitcrawl, ghx, or per-PR REST calls in parallel.
Fetch at least 100 open PRs. Widen toward 1000 when the strict filter yields fewer than 20.
Pipe discovery JSON into the ranker. It accepts a raw PR array or gitcrawl's { "threads": [...] } envelope. Keep labels_json, author_login, and is_draft for normalization.
Combine handled_refs and explicit_skips into comma-separated HANDLED_PRS. Numbers, #123, and full pull-request URLs are accepted.
Pipe the first ranking into scripts/hydrate-candidates.mjs --input -, then rank its stdout with --hydrated. Hydration remains serial and includes REST metadata, paginated file deltas, live checks, and mergeability retries.
Set SKILL_ROOT to this skill's directory. For live discovery, run this pipeline in Bash or Zsh:
set -o pipefail
ghx pr list --repo openclaw/openclaw --state open --limit 100 \
--json number,title,url,author,labels,isDraft,state |
node "$SKILL_ROOT/scripts/rank-candidates.mjs" \
--limit 40 --batch-size 20 \
--decision-ledger "$SKILL_ROOT/references/decision-ledger.json" \
--exclude "$HANDLED_PRS" |
node "$SKILL_ROOT/scripts/hydrate-candidates.mjs" --input - |
node "$SKILL_ROOT/scripts/rank-candidates.mjs" --hydrated \
--decision-ledger "$SKILL_ROOT/references/decision-ledger.json" \
--exclude "$HANDLED_PRS"Treat any nonzero pipeline status as failure. Do not act on JSON from a failed pipeline.
Retain intermediate JSON only for a concrete debugging or recovery need. Explicit --input <file> and hydrator --output <file> remain available.
If process launch returns EMFILE, Too many open files, or another file-descriptor exhaustion error, stop spawning workers and parallel shells immediately. Let retained lanes finish, then continue from the coordinator with one shell call at a time.
When REST returns mergeable: null or an unknown merge state, retry that PR fetch up to three times with a two-second delay. If GitHub still has not resolved it, carry the PR as indeterminate instead of admitting it to the final batch.
Final ranking rejects missing author association, partial file hydration, dirty/conflicting state, failed checks, and high-risk changed paths.
Treat pending non-routine checks as not ready. Do not admit them merely because older checks passed.
Risk labels are routing signals, not proof of a risky surface. Exact security/auth and availability labels are hard exclusions. A compatibility label alone still requires qualification against the title and changed paths.
Production-size and test/docs-only gates are intentionally deferred until the hydrated pass.
Apply the full operator policy. ClawSweeper diamond/platinum labels improve rank but never override a hard exclusion.
Build a batch of up to 20 qualified PRs.
Fan out bounded read-only qualification.
AGENTS.md from trusted origin/main, then inspect live state, full changed functions/modules, callers, callees, siblings, tests, issue context, and dependency contracts.references/worker-contract.md.Promote only qualified PRs into implementation lanes.
gwt worktree per PR. Never share a worktree between agents.Prove and narrow each PR.
origin/main and search duplicate/fixed-on-main clusters.handledMerged, not a future selection precedent.Review and land serially.
$autoreview on the final head until no accepted/actionable findings remain.main checkout, never a contributor-modified copy.main, verify the touched paths do not overlap, rebase through the native wrapper, and rerun exact-head CI. Do not copy the unrelated main fix into the contributor diff.main, record it as unrelated, cancel the current-task fallback, and keep waiting for the normal path-selected exact-head CI. Do not churn the contributor patch to repair unrelated full-suite debt.createCommitOnBranch exceeds GitHub's payload limit after a rebase, retry ${OPENCLAW_ROOT}/scripts/pr prepare-sync-head <PR> with OPENCLAW_PR_PUSH_MODE=git OPENCLAW_ALLOW_UNSIGNED_GIT_PUSH=1; require maintainerCanModify=true, the wrapper's exact lease, and an already reviewed prep branch. Do not raw-push around the wrapper.main does not automatically carry a contributor PR's commit ancestry. For contributor-head gates, fetch and force-checkout pull/<PR>/head inside the box, then overlay only the reviewed maintainer repair files. Do not restore sparse omissions from current main onto a stale PR head; that can create lockfile and typecheck mismatches unrelated to the PR.$operations-worktree for terminal current-task closeout after verifying the PR outcome and finishing current-task proof and remote leases. gwt finish applies only to trees created with --finish-managed; existing and repository-native PR worktrees keep their own lifecycle.$operations-worktree or repository-native lifecycle, not an unconditional finish/release sequence.
Plain gwt finish records completion, not owner release.
Supported manual finalized closeout uses its own native guards. Do not infer capability from automatic backend qualification.
Retention alone does not keep the PR or batch active.Close the batch with a ledger.
landed, closed, rejected, blocked, or carried.references/decision-ledger.json; do not add merely sampled or still-carried PRs.auditWatermark with the highest authoritatively inspected open PR, UTC timestamp, and origin/main SHA.retained, blocked, or verified removed, with its exact path, branch/HEAD, owner, reason, and next action.next 20 after refreshing the handled set and live queue.batch_size: default 20, maximum 20.repo: default openclaw/openclaw.explicit_skips: PR numbers or URLs the operator has excluded.handled_refs: merged, closed, rejected, ignored, or already-reviewed PRs.concurrency: default 2 retained qualification workers and 1 retained implementation worker; maximum 2 implementation workers.source_mode: discovery or provided-prs; default discovery.risk_overrides: explicit operator-approved exceptions only.main status after landing work.stateDiagram-v2
[*] --> RecoverQueueAndCurrentMain
RecoverQueueAndCurrentMain --> DiscoverAndHydrateSerially
DiscoverAndHydrateSerially --> QualifyCandidates: complete eligible evidence
DiscoverAndHydrateSerially --> RecordExcludedOrIndeterminate: hard exclusion or incomplete evidence
QualifyCandidates --> RepairAndProve: owner-boundary bug qualifies
QualifyCandidates --> RecordExcludedOrIndeterminate: insufficient value or unsafe scope
RepairAndProve --> ExactHeadReview: focused proof passes
RepairAndProve --> RecordBlockedOrCarried: proof fails or scope expands
ExactHeadReview --> LandSerially: current checks and reviews pass
ExactHeadReview --> RecordBlockedOrCarried: unresolved gate
LandSerially --> VerifyOutcome
VerifyOutcome --> RecordLedgerAndCheckout
RecordExcludedOrIndeterminate --> RecordLedgerAndCheckout
RecordBlockedOrCarried --> RecordLedgerAndCheckout
RecordLedgerAndCheckout --> [*]© vincentkoc, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 9 other files (scripts, references, assets) in skills/openclaw-pr-batch-sweep of vincentkoc/dotskills.
Open the folder on GitHubat commit b83ca13
Openclaw PR Batch Sweep next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Openclaw PR Batch Sweep this skillvincentkoc/dotskills | 107 | — | ~4.1k | Automated safety check: Pass | MIT | |
| GitHub Review Iterationprisma/orm | 48k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Cherry Studio PR ReviewCherryHQ/cherry-studio | 52k | — | ~3.9k | Automated safety check: Pass | AGPL-3.0 | |
| PR Cyclejaemk/cached | 2.1k | — | ~4.8k | Automated safety check: Notes | MIT | |
| PR Reviewjaemk/self_update | 961 | — | ~1.5k | Automated safety check: Notes | MIT | |
| PR Reviewjaemk/cached | 2.1k | — | ~2.5k | Automated safety check: Notes | MIT |
prisma/orm
Runs a loop on a GitHub pull request: fetch review state, triage comments into actions, implement them and resolve threads, repeating until nothing actionable is left.
CherryHQ/cherry-studio
Reviews Cherry Studio branches, pull requests, commits, files and docs against the project's own architecture, naming, API-boundary and UI rules, report-only by default.
jaemk/cached
PR review-and-update cycle — the orchestrator that takes a PR from review to resolved.
jaemk/self_update
Targeted, read-only review of a PR or checked-out branch. An agent skill from jaemk/self_update.
jaemk/cached
Targeted, read-only review of a PR or checked-out branch. An agent skill from jaemk/cached.
openinterpreter/openinterpreter
Run a final code review on a pull request
vincentkoc/dotskills
Monitor and coordinate one tmux agent lane, reconstruct worker state from panes and recent Codex logs, classify progress and blockers, and produce concise manager summaries.
vincentkoc/dotskills
Resolve canonical Git checkouts, index and verify codebase-memory-mcp graphs through the guarded CLI, and safely audit duplicate worktree caches.
vincentkoc/dotskills
Audit and safely prune stale branches across a GitHub organization with immutable snapshots, conservative merged-PR classification, live SHA/protection/open-PR revalidation, resumable deletion…
vincentkoc/dotskills
Prepare a concise session handoff when the user asks to wrap up, capture continuation context, or use /done.
vincentkoc/dotskills
Mine structured Codex /goal history locally or across a configured machine fleet, measure active goal time and resumed thread spans, identify unfinished and recurring semantic runs, and turn them…
vincentkoc/dotskills
Build local semantic review slices by combining clawpatch feature maps, deepsec threat candidates, visual review maps, and optional gitcrawl/discrawl evidence for repos such as openclaw/openclaw.
Categories
Select, review, repair, validate, and land batches of up to 20 low-risk OpenClaw contributor pull requests using Vincent's maintainer preferences and bounded sub-agent lanes. Openclaw PR Batch Sweep is an agent skill from vincentkoc/dotskills. Select, review, repair, validate, and land batches of up to 20 low-risk OpenClaw contributor pull requests using Vincent's maintainer preferences and bounded sub-agent lanes.
Openclaw PR Batch Sweep fits situations like: broad contributor PR sweeps; merge-candidate mining; continued PR-batch work where drafts; maintainer work.
Run `npx skills add vincentkoc/dotskills --skill openclaw-pr-batch-sweep -a claude-code`. Or copy the skill folder (skills/openclaw-pr-batch-sweep in vincentkoc/dotskills) into .claude/skills/openclaw-pr-batch-sweep in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vincentkoc/dotskills --skill openclaw-pr-batch-sweep -a codex`. Or copy the skill folder (skills/openclaw-pr-batch-sweep in vincentkoc/dotskills) into .agents/skills/openclaw-pr-batch-sweep in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vincentkoc/dotskills --skill openclaw-pr-batch-sweep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openclaw-pr-batch-sweep, .gemini/skills/openclaw-pr-batch-sweep, .github/skills/openclaw-pr-batch-sweep and .opencode/skills/openclaw-pr-batch-sweep in your project.
Going by SKILL.md and its folder, Openclaw PR Batch Sweep needs JavaScript for the scripts in its folder. Our summary lists: Node.js.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Openclaw PR Batch Sweep is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 55k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Openclaw PR Batch Sweep: GitHub Review Iteration (prisma/orm, 48k stars), Cherry Studio PR Review (CherryHQ/cherry-studio, 52k stars), PR Cycle (jaemk/cached, 2.1k stars) and PR Review (jaemk/self_update, 961 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vincentkoc (a GitHub user) maintains it in vincentkoc/dotskills, which has 107 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 8, 2026.
Source: vincentkoc/dotskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.