Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
49,492 skills from 2,391 repositories · updated 5 hours ago
48,451 skills
- programmatic-seokostja94/marketing-skillsWhen the user wants to create SEO pages at scale using templates and data—including AI-assisted, grounded copy for per-URL differentiation (vs rigid mail-merge templates). Also use when the user mentions "programmatic SEO," "programmatic SEO pages," "template pages," "scale content," "location pages," "city pages," "comparison pages at scale," "X vs Y pages," "integration pages," "pages from data," "automated landing pages," or "programmatic landing pages." Uses a playbook matrix aligned to skills under skills/pages. For user-facing template galleries or marketplaces (browse → use), use template-page-generator.MarketingNo warnings★ 1.1K↓ —
- colm-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical core of a COLM paper — contamination analysis for evaluation data, fair baselines under matched prompting and compute, pinned model versions and decoding parameters, uncertainty over runs and samples, scaling coverage, and honest reporting of API-model comparisons.ScienceNo warnings★ 1.4K↓ —
- baoyu-youtube-transcriptJimLiu/baoyu-skillsDownloads YouTube video transcripts/subtitles and cover images by URL or video ID. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting. Use when user asks to "get YouTube transcript", "download subtitles", "get captions", "YouTube字幕", "YouTube封面", "视频封面", "video thumbnail", "video cover image", or provides a YouTube URL and wants the transcript/subtitle text or cover image extracted.MediaNo warnings★ 27.3K↓ —
- colt-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether a COLT (Conference on Learning Theory) paper needs numerical content at all — COLT has no experiments requirement — and, when numerics genuinely help, designing small illustrative simulations that visualize a proved bound, a separation, or a phase transition without diluting the theory.MediaNo warnings★ 1.4K↓ —
- acl-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising an ACL paper for computational-linguistics house style, covering task-first framing, linguistic examples tied to quantitative error analysis, scoping language claims to tested languages, LLM-era claim discipline, anonymous self-reference, Limitations prose, and compressing into the 8-page or 4-page ACL format.WritingNo warnings★ 1.4K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanningNo warnings★ 27.9K↓ —Also in 1 other repo
- wacv-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a WACV submission before an OpenReview round deadline, covering the Round 1 vs Round 2 choice, the Applications vs Algorithms track field, the 8-page-including-figures limit, double-blind anonymity and OpenReview-profile requirements, the anonymized supplement, dual submission, and desk-reject triage.PlanningNo warnings★ 1.4K↓ —
- product-strategistalirezarezvani/claude-skillsHead of Product: quarterly OKRs cascaded from company to team, product vision, roadmap, team structure. Use whenever the user asks to set OKRs, a vision or roadmap, or align teams on strategy.PlanningNo warnings★ 29.3K↓ —
- vis-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning an IEEE VIS submission against the visualization literature across TVCG, the six VIS areas, EuroVis/CGF, PacificVis, and adjacent HCI/graphics venues, writing delta-first contrast rather than a citation catalog, keeping self-citations double-blind when opted in, and handling concurrent, preprint, and prior-version overlap for a TVCG journal article.WritingNo warnings★ 1.4K↓ —
- kr-work-reportmohitagw15856/pm-claude-skillsUse when asked 보고서 써 줘, 주간보고 작성해 줘, 개조식으로 정리해 줘, 팀장님께 보고할 내용 정리, 1페이지 보고서, 업무 보고서 양식, or write a Korean business report or weekly report. Produces a Korean workplace report in 개조식 and 두괄식 style: a one-line conclusion, then 현황, 문제점, 대안 비교, 건의사항 and 향후 계획 for a 보고서, or 금주 실적, 차주 계획 and 이슈 및 협조 요청 for a 주간보고, with consistent noun-form endings, numbers and owners, plus a short verbal briefing version.WritingNo warnings★ 1.5K↓ —
- ab-test-setupalirezarezvani/claude-skillsUse before planning or launching any A/B, split or multivariate test, or when asked if a result is significant. Sizes the test with sample_size_calculator.py and writes the hypothesis, metric and stop rule first, so it is not called early on noise.TestingNo warnings★ 29.3K↓ —
- train-sentence-transformershuggingface/skillsTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.OfficialProductivityNo warnings★ 11.3K↓ —
- stoc-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a STOC (ACM Symposium on Theory of Computing) submission for HotCRP readiness — the abstract + table-of-contents + first-12-pages reading rule, single-column 11-point format, double-blind hygiene, the SIGACT prior/simultaneous-publication policy, and deadline-week sequencing before the November cutoff.OtherNo warnings★ 1.4K↓ —
- sigir-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a SIGIR project calendar — backward-planning from the January-pattern abstract/paper deadlines to the July conference, sequencing evidence freeze, significance testing, and anonymization, coordinating multi-track decisions, and wiring the SIGIR/ECIR/CIKM/WSDM/SIGIR-AP fallback calendar into one pipeline.ProductivityNo warnings★ 1.4K↓ —
- code-reviewdzhng/skillsReview changed code for naming, stale references, unnecessary complexity, and comment quality. Use after completing implementation work, before committing, or when the user asks to review or audit code.EngineeringNo warnings★ 1.4K↓ —
- tacas-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a TACAS (ETAPS) project timeline from category choice and venue fit through the EasyChair paper deadline, the mandatory tool-paper artifact deadline, the rebuttal window, notification, the voluntary post-acceptance artifact round, LNCS camera-ready, and presentation, with backward-planning offsets that account for TACAS's single annual round and its parallel paper+artifact review.ProductivityNo warnings★ 1.4K↓ —
- soda-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when preparing or auditing a SODA (ACM-SIAM Symposium on Discrete Algorithms) submission — the no-page-limit full-version norm, the title-page abstract, 11-point single-column letter format, lightweight double-blind rules, HotCRP entry, and the July AoE deadline with its summary-rejection triggers.ProductivityNo warnings★ 1.4K↓ —
- socc-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ACM SoCC (Symposium on Cloud Computing) research-paper submission for HotCRP readiness, covering the two-round abstract+paper deadlines, the acmart/sigconf 12-page (full) or 6-page (short) budget with unlimited references, dual-anonymous review, the systems-and-data reproducibility posture, and desk-reject triage before the AoE cutoff.ScienceNo warnings★ 1.4K↓ —
- rss-related-workbrycewang-stanford/Awesome-Journal-SkillsJournal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。PlanningNo warnings★ 1.4K↓ —
- judge-task-lifecyclesno-ai/sno-stationJudge how a memory changes active-task state and whether it refers to an existing task. Use for mem-claw task-lifecycle model calls.ProductivityNo warnings★ 1.1K↓ —
- sno-mem-claudesno-ai/sno-stationUse Sno memory from Claude through four explicit commands.ProductivityNo warnings★ 1.1K↓ —
- ppopp-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a PPoPP submission campaign end to end, sequencing the summer paper deadline, the author-response rebuttal window, notification, the post-acceptance CGO-shared artifact-evaluation round, the camera-ready, and the presentation inside the co-located HPCA/CGO/PPoPP/CC week.ProductivityNo warnings★ 1.4K↓ —
- press-coverage-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Press Coverage Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Press Coverage Page.OtherNo warnings★ 1.1K↓ —
- huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.OfficialMediaNo warnings★ 11.3K↓ —
brooks-sweep
hyhmrright/brooks-lint
UpdatedTestingUpdated 17 hours ago
From the author
Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution. Drawing on twelve classic engineering books. Triggers when: user wants to "fix everything", "sweep the codebase", "auto-fix all issues", "clean up the whole project", or asks for a single command that both diagnoses and remediates quality problems. Do NOT trigger for: read-only audits or health reports where the user only wants findings without code changes; single-dimension reviews (use the focused skill instead: brooks-review / brooks-audit / brooks-debt / brooks-test); server health checks, HTTP /health endpoints, Kubernetes probes, database health, or application uptime.
Install
npx skills add hyhmrright/brooks-lint --skill brooks-sweep -a claude-code
Installs to .claude/skills/brooks-sweep/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 88
Security100
Provenance78
Maintenance100
Licence100
Adoption51
Files (2)
- SKILL.md
- sweep-guide.md