Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
49.409 skill-uri din 2.375 de depozite · actualizat acum 5 ore
49.409 skill-uri
- 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.DevOpsFără avertismente★ 1,4 K↓ —
- 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.ȘtiințăFără avertismente★ 1,4 K↓ —
- learn-my-brandgooseworks-ai/goose-skillsLearn my brand once and stop asking me every time. Use when someone says learn my brand, set up my brand, here's our brand book, remember how we talk, what can we claim, can we say this, approve our claims, sign off our voice, our price or product changed, the client approved the claims, pick up where we left off, or check our claims are still current. Reads what GooseWorks already found about the brand, asks only the gaps as drafts to confirm, audits every claim (including ones research marked approved) and gets the ones that matter signed off with proof, scope and review date, turns the voice into rules the owner confirms, checks logo, colours and fonts, and saves it all as it goes so every other job loads it instead of asking. Ends with an unknowns list and a read-back. Not for who our customers are and what they say (use research-audience) or writing positioning from scratch (not covered yet).ȘtiințăFără avertismente★ 1,3 K↓ —
- iclr-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing ICLR experiments, including baselines, ablations, scaling laws, robustness, statistics, benchmarks, human evaluation, and compute reporting. Use when a reviewer questions whether a representation-learning or model gain is real, when you must isolate one mechanism with an ablation, or when preparing a small compute-matched control that can be posted inline during the public discussion period.AlteleFără avertismente★ 1,4 K↓ —
- false-green-testsreticlehq/reticleFind out why the tests pass but the app is broken. Catches false greens: a green suite over a feature that does not work, a mocked API standing in for a real one, an assertion that holds no matter what the app does, a click handler wired to nothing. Use when the suite is green and the user says it is broken, when a test never fails, when coverage looks fine but bugs still ship, or before trusting a passing run you did not watch.TestareFără avertismente★ 1,3 K↓ —
- plan-campaign-channel-decisiongooseworks-ai/goose-skillsStep of the plan-campaign playbook: marks each candidate channel Run, Test, Later or No with a brand-fact reason and founder hours. Run plan-campaign instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- imc-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ACM IMC submission for HotCRP readiness, covering the paper-registration step, the acmart template with BBL upload, the full/short page limits, double-blind anonymity including vantage-point details, the mandatory Ethics section, the artifact-availability declaration, cycle choice, and desk-reject triage before the AoE cutoff.ȘtiințăFără avertismente★ 1,4 K↓ —
- run-paid-campaigns-health-gategooseworks-ai/goose-skillsChecks that ads are safe to spend on: conversion tracking recording, landing pages loading on mobile with the right product, price and offer, enough stock behind promoted products, no disapproved ads, and no account or payment stop. Marks each pass, fail or unknown and turns fails into fixes. Use alone when you already have the live or planned ads and their landing pages; otherwise run run-paid-campaigns.FinanțeFără avertismente★ 1,3 K↓ —
- make-static-ads-fix-rejectedgooseworks-ai/goose-skillsStep of the make-static-ads playbook: fixes a static image ad the platform rejected — finds the ad, maps the platform's reason to the line or element at fault, fixes copy for free or re-composes the image text on a quote, re-runs the claims and policy checks, and answers the request. A rejected video is the video playbook's job. Run make-static-ads instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- iros-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an IROS project timeline from venue fit through the spring paper deadline, the separate video deadline, the summer review silence, the June notification, the July camera-ready, IEEE Xplore publication, registration, and presentation, with backward-planning offsets for a real-robot paper on the fall IEEE/RSJ calendar.ProductivitateFără avertismente★ 1,4 K↓ —
- postgresql-development-cloudbaseActualizatTencentCloudBase/CloudBase-AI-ToolkitUse when building, debugging, or evaluating CloudBase PostgreSQL / CloudBase PG / PG mode apps, including Postgres schema setup, queryPgDatabase/managePgDatabase, JS SDK v3 app.rdb() CRUD/RPC, PG HTTP API fallback, RLS-style permissions, username-password auth, and Web CMS/admin CRUD flows backed by CloudBase PG.DateFără avertismente★ 1,2 K↓ —Apare și în 4 alte depozite
- rag-architectActualizatalirezarezvani/claude-skillsDesign a RAG pipeline: chunk size, embedding model, vector database and retrieval quality metrics. Use whenever the user builds search over their docs, picks a vector store or finds answers miss the right context.PlanificareFără avertismente★ 29,2 K↓ —
- second-brain-graphundefined-ui/second-brain-osAnalyse the vault's link graph and report on its shape: orphan rate, average degree, components, hubs, bridges and clusters, with what each number means for retrieval. Use this skill when the user asks about the health or structure of their graph, wants metrics, asks which pages are most connected or most isolated, or asks whether the vault is fragmented. Do NOT use for fixing what it finds, which is second-brain-lint, or for answering a content question.AlteleFără avertismente★ 1,2 K↓ —
- jama-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when deciding which jama-* sub-skill to invoke next, or when sequencing a clinical manuscript from scope check through revision for JAMA (Journal of the American Medical Association). Routes — does not replace — the specialized skills.ProductivitateFără avertismente★ 1,4 K↓ —
- hri-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the human-subjects study at the heart of an ACM/IEEE HRI full paper — choosing between/within-subjects designs, running Wizard-of-Oz honestly, powering the sample, reporting statistics with effect sizes and qualitative rigor, selecting validated scales, adding manipulation checks, pre-registering, and meeting HRI's human-participants ethics obligations.ȘtiințăFără avertismente★ 1,4 K↓ —
- corl-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when converting an accepted CoRL paper into its final form — the 9-page camera-ready main text with the extra page for review feedback, the final-mode corl LaTeX template, appendix merged into one PDF, de-anonymization, external hosting for videos because PMLR accepts none, and the October deadline into the PMLR volume.DocumenteFără avertismente★ 1,4 K↓ —
- chi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the studies behind an ACM CHI paper — matching evidence shape to contribution type, powering quantitative experiments, making qualitative work rigorous and auditable, reporting participants and ethics properly, and avoiding the ADR-Data and ADR-Method screening grounds.ȘtiințăFără avertismente★ 1,4 K↓ —
- brooks-sweephyhmrright/brooks-lintFull-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.TestareFără avertismente★ 1,6 K↓ —
- uist-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of a UIST paper — choosing among technical benchmarks, controlled comparisons, usability walkthroughs, expert sessions, and demonstration applications, matching evaluation shape to the systems claim, and avoiding the ritual study that proves nothing the paper asserts.ȘtiințăFără avertismente★ 1,4 K↓ —
- directory-submissionkostja94/marketing-skillsWhen the user wants to submit a product or app to directories, curated lists, launch platforms, or app stores—and needs ready-to-paste copy per platform. Reads root contextus.md when present. Also use when the user mentions "directory submission," "get listed," "app store listing," "submit to directories," "curated list," "best tools list," "Taaft," "Product Hunt," "directory ads," "newsletter feature," "directory campaign," "tailor description per platform," "Shopify App Store," "Chrome Web Store," "navigation site," or "product directory." For Product Hunt launch day tactics (hunter, first comment, timing), use product-hunt-launch. For full 0→1 channel planning, use cold-start-strategy.BrowserFără avertismente★ 1,1 K↓ —
- employee-generated-contentkostja94/marketing-skillsWhen the user wants to plan, implement, or optimize employee-generated content (EGC) or employee advocacy. Also use when the user mentions "EGC," "employee advocacy," "employee content," "internal brand ambassadors," "employee social media," "employee advocacy program," "staff advocacy," "LinkedIn employee posts," or "brand ambassador program." For LinkedIn, use linkedin-posts.MarketingFără avertismente★ 1,1 K↓ —
- domain-architecturekostja94/marketing-skillsWhen the user wants to decide domain structure for multiple products or brands—subfolder vs subdomain vs independent domain. Also use when the user mentions "subfolder vs subdomain," "subdirectory vs subdomain," "multiple products domain," "multiple websites," "brand architecture," "branded house," "house of brands," "where to host product," "domain structure," or "hub-spoke domain." For brand SERP, use multi-domain-brand-seo.PlanificareFără avertismente★ 1,1 K↓ —
- distribution-channelskostja94/marketing-skillsWhen the user wants to plan product distribution via marketplaces, app stores, or third-party platforms. Also use when the user mentions "distribution channels," "marketplace listing," "app store listing," "Figma plugin," "Chrome extension marketplace," "AWS Marketplace," "Shopify app," "GPTs store," "app distribution," or "third-party marketplace." For channel mix, use integrated-marketing.DevOpsFără avertismente★ 1,1 K↓ —
- imc-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in an ACM IMC paper body versus its appendix and released artifact, covering the acmart page limits, the rule that decision-critical evidence and the Ethics discussion stay in the reviewed pages, double-blind supplementary material, and how to split a measurement paper between body, appendix, and dataset.ȘtiințăFără avertismente★ 1,4 K↓ —
claims-gate
gooseworks-ai/goose-skills
MarketingActualizat 27 oct. 2026
De la autor
Checks every claim in a piece of copy (ads, emails, posts, pages, scripts, briefs) against the claims the brand has approved. Keeps, rewrites or cuts each line, and lists the proof that would bring a cut line back. When a line the copy needs has no approval, it asks for a short sign-off on the 3 or 4 lines that matter and records the answer. Use alone when you already have the copy and a brand set up; otherwise run the playbook for the job (e.g. make-static-ads, make-content, write-outreach).
Instalare
npx skills add gooseworks-ai/goose-skills --skill claims-gate -a claude-code
Se instalează în .claude/skills/claims-gate/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
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De ce 88
Securitate100
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (5)
- SKILL.md
- claim-types.md
- local-claims.md
- record-skeleton.md
- skill.meta.json