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.
49,103 skills from 2,358 repositories · updated 12 minutes ago
48,054 skills
- oma-academic-writingfirst-fluke/oh-my-agentDraft and revise academic prose against a rubric, evidence, and citation requirements. Use for essays, reports, literature reviews, or academic style audits.WritingNo warnings★ 1.4K↓ —Also in 1 other repo
- signup-flow-croalirezarezvani/claude-skillsUse when signup, registration or trial-start conversion is low or a signup flow is being designed. Finds the drop-off step with funnel_drop_analyzer.py and removes friction field by field.MarketingNo warnings★ 29.2K↓ —
- doca-pcc-countersNVIDIA/skillsUse this skill when the user is invoking the DOCA PCC Counters tool — the `pcc_counters.sh` bash script under the DOCA tools directory — to arm and read the fixed firmware/hardware PCC (Programmable Congestion Control) diagnostic counters (CNP, RTT, WRED-drop, etc.) on a ConnectX / BlueField device via mst + the mlx5 debugfs `diag_cnt` interface. The script takes two positional args — `set | query` and an mst device path — with no `--help` or subcommands. Trigger even without "pcc_counters.sh" or "PCC counters": "how do I read the CNP / RTT / WRED-drop counters", "PCC counter stuck at zero", "the script says Bad Device", or "is congestion control dropping packets on this port?". Route elsewhere for writing a custom PCC algorithm (doca-pcc), factory firmware PCC config, DOCA install, or fleet-wide CC tuning.DesignNo warnings★ 3.8K↓ —
- corl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing experiments for a CoRL robot-learning paper — seeds and evaluation-episode counts, task-suite breadth, real-robot versus simulation evidence, sim-to-real gap measurement, baseline fairness across BC/RL/VLA families, generalization splits, and statistics for success-rate claims.ScienceNo warnings★ 1.4K↓ —
- iccv-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing the experimental program for an ICCV paper against the early-March deadline, covering benchmark-drift audits across the two-year gap, baseline fairness in the foundation-model era, ablations that isolate mechanisms, qualitative and failure evidence, and sequencing runs so the decisive result lands before the deadline, not after.ScienceNo warnings★ 1.4K↓ —
- hri-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or revising an ACM/IEEE HRI full paper's structure and prose for an interdisciplinary audience — leading with the human-robot contribution and research questions, making hypotheses and measures explicit, describing the robot embodiment, keeping claims proportional to the study within the 8-page acmart budget, and writing so the chosen track's contribution type is unmistakable.WritingNo warnings★ 1.4K↓ —
- eccv-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental program of an ECCV paper — benchmark selection that survives a September conference, matched-substrate baseline fairness in the foundation-model era, ablations that isolate the claimed mechanism, qualitative failure evidence, and run sequencing toward a March freeze.ScienceNo warnings★ 1.4K↓ —
- osdi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an OSDI submission — choosing mature baselines and realistic workloads, structuring the section around research questions, measuring scalability and tail behavior, quantifying the design's costs, and fitting the evidence into the 12-page reviewed body.DesignNo warnings★ 1.4K↓ —
- uai-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising a UAI manuscript for probabilistic-inference readers, enforcing precise notation for distributions, graphs, and interventions, explicit assumption and identifiability statements, an 8-page main part that carries the whole argument while proofs sit in the appendix, and claims calibrated to what the theory and experiments show.WritingNo warnings★ 1.4K↓ —
- soda-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.ScienceNo warnings★ 1.4K↓ —
- render-cartoon-music-videogooseworks-ai/goose-skillsAssemble a cartoon / animated / hand-crafted music-video ad from a config — a sung song carries the whole narrative while N per-bar i2v clips (one recurring animated character, one look pack) are each cut to their BAR window from librosa beat-tracking and hard-concatenated on the bar, VEED-whisper white bold-sans captions in the BOTTOM third (Alignment 2, above the logo bug, no pill) burned from the song's word timings re-spelled against the locked lyrics, a persistent brand logo bug held over the body (suppressed on the end card), and closed on a solid-brand-color PIL end card with the song still playing under it — never AI-rendered text. This is the FREE deterministic assembly stage (cut-to-bar + hard concat + logo bug + captions + end card + song mux); the song, character, keyframes, and clips come from create-music-elevenlabs / create-image-fal / create-video-fal. Use for the cartoon-music-video format.MediaNo warnings★ 1.3K↓ —
- ndss-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an NDSS paper — attack demonstrations, defense evaluations under adaptive adversaries, and Internet measurements — choosing between testbed, emulation, and live experiments and meeting NDSS's deployment-realism evidence bar.DevOpsNo warnings★ 1.4K↓ —
- cscw-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical work behind a CSCW paper — interview and ethnographic rigor, trace and log analysis, surveys, deployments, and mixed methods — matching each method's own validity standard and the ethics of studying real communities.DevOpsNo warnings★ 1.4K↓ —
- cav-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in a CAV (Computer Aided Verification) paper body versus its optional appendix and artifact, covering the LNCS page limits, the rule that reviewers are not obliged to read the appendix so decision-critical content stays in the body, where full proofs and benchmark tables live, and double-anonymous supplementary material for the anonymized categories.ScienceNo warnings★ 1.4K↓ —
- verify-keyboard-accessreticlehq/reticleVerify that every interactive control on a page can take keyboard focus and that its primary action fires from the keyboard rather than only the mouse, and say plainly that Tab order cannot be verified today. Use when a component was hand-tested with a mouse, a custom dropdown/modal/combobox was added, or an accessibility report flags an unreachable control.OtherNo warnings★ 1.3K↓ —
- executing-plansGanyuanRan/AegisUse when executing a written implementation plan across sessions or with review checkpoints. Small or single-slice plans stay inline. For same-session independent tasks, use subagent-driven-development instead.PlanningNo warnings★ 1.4K↓ —
- ui-ux-governanceGanyuanRan/AegisUse when designing, changing, or reviewing user-facing interfaces or interaction flows, including API changes that alter visible states or recovery. Backend-only work without user-facing effects stays on its existing route.DesignNo warnings★ 1.4K↓ —
- chi-review-processbrycewang-stanford/Awesome-Journal-SkillsUse when interpreting the ACM CHI Papers review pipeline — 1AC and 2AC roles, the A/ARR/RR/RRX/X recommendation scale, desk-reject and rubric-based assisted desk-reject screening, the revise-and-resubmit threshold, round-2 PC decisions — and what each stage means for authors.EngineeringNo warnings★ 1.4K↓ —
- make-static-ads-ad-copygooseworks-ai/goose-skillsStep of make-static-ads: writes the text for each slot the ad's template sets, then the primary texts, headline, description and CTA around the image, from usable facts and customer words. Run make-static-ads instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- oma-skill-creationNewfirst-fluke/oh-my-agentCreate or revise OMA skills and their references. Use for skill routing, execution contracts, conditional loading, and authoring validation.OtherNo warnings★ 1.4K↓ —
- plan-campaign-budget-and-testsgooseworks-ai/goose-skillsStep of the plan-campaign playbook: splits the budget across chosen channels, checks per-channel minimums, and writes the test plan and paid structure. Run plan-campaign instead; not for direct use.TestingNo warnings★ 1.3K↓ —
- improve-search-visibility-fix-writergooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: turns one ranked fix into paste-ready site copy or code with owner, risk and undo, and writes page briefs. Run improve-search-visibility instead; not for direct use.WritingNo warnings★ 1.3K↓ —
- writing-skillsGanyuanRan/AegisUse when creating new skills, editing existing skills, or verifying skills work before deploymentWritingNo warnings★ 1.4K↓ —
- rss-writing-stylebrycewang-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。WritingNo warnings★ 1.4K↓ —
ai-ugc-ad-video
hashgraph-online/awesome-codex-plugins
NewMediaUpdated 9 hours ago
From the author
Open-source alternative to Arcads: AI UGC ads with an AI actor holding your real product. Casts a creator whose age matches the claim in the room where the problem happens, writes a phone-real script (a yapper, unboxing, street interview or in-car take) with every line in the prompt, locks the face, the voice and the product label across shots, prompts camera flaws and breaths so it doesn't look waxy, generates on Seedance 2.5, Kling 4 or Creatify through varg, and labels it. It never puts a first-person testimonial or result in an AI mouth (FTC rule) and never targets TikTok Shop presenters (AI voices banned there). Use when someone wants AI UGC ads, an AI creator or actor talking about their product, Arcads/Creatify/MakeUGC-style ads, or UGC without hiring creators. NOT for TikTok Shop affiliate videos (use tiktok-shop-video), product-only shots with no person (use product-photo-to-video), or the same characters across a multi-scene story (use varg-consistent-characters).
Install
npx skills add hashgraph-online/awesome-codex-plugins --skill ai-ugc-ad-video -a claude-code
Installs to .claude/skills/ai-ugc-ad-video/ · 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 onlyUses the networkLicence: MIT
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Files (2)
- SKILL.md
- references/prompts.md