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.
45.100 de skill-uri din 2.196 de depozite · actualizat acum 6 ore
44.137 de skill-uri
- vulndavepoon/buildwithclaudeLook up a vulnerability by ID or list all vulnerabilities for a packageSecuritateFără avertismente★ 3,7 K↓ —
- vastai-hello-worldjeremylongshore/tons-of-skills-marketplaceRent, verify, use, and destroy a first Vast.ai GPU instance with bounded cost and explicit failure cleanup. Use when running a safe platform canary or onboarding exercise. Trigger with: "rent my first Vast.ai GPU", "run a Vast.ai canary", "test Vast.ai end to end".TestareFără avertismente★ 2,9 K↓ —
- vercel-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Vercel costs through plan selection, function efficiency, and usage monitoring. Use when analyzing Vercel billing, reducing function execution costs, or implementing spend management and budget alerts. Trigger with phrases like "vercel cost", "vercel billing", "reduce vercel costs", "vercel pricing", "vercel expensive", "vercel budget".PlanificareFără avertismente★ 2,9 K↓ —
- splitting-datasetsjeremylongshore/tons-of-skills-marketplaceProcess split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning". Trigger with relevant phrases based on skill purpose.TestareFără avertismente★ 2,9 K↓ —
- adobe-debug-bundlejeremylongshore/tons-of-skills-marketplaceAssemble a minimal, reproducible Adobe diagnostic bundle with default-deny collection and verifiable redaction. Use for engineering or Adobe support escalation. Use when the task requires adobe redacted diagnostic bundle. Trigger with "Adobe debug bundle", "collect Adobe diagnostics", or "prepare Adobe support case".InginerieFără avertismente★ 2,9 K↓ —
- vastai-cost-tuningjeremylongshore/tons-of-skills-marketplaceReduce Vast.ai GPU, storage, and bandwidth spend without weakening workload requirements or leaving stopped resources billable. Use when selecting offers, setting spot policy, cleaning idle resources, or reconciling invoices. Trigger with: "optimize Vast.ai cost", "find Vast.ai cost leaks", "compare Vast.ai offers".PlanificareFără avertismente★ 2,9 K↓ —
- sentry-load-scalejeremylongshore/tons-of-skills-marketplaceScale Sentry for high-traffic applications handling millions of events per day. Use when optimizing SDK performance at high volume, implementing adaptive sampling, managing quotas and costs at scale, or deploying Sentry across multi-region infrastructure. Trigger with phrases like "sentry high traffic", "scale sentry", "sentry millions events", "sentry high volume", "sentry quota management", "sentry load test".TestareFără avertismente★ 2,9 K↓ —
- adobe-load-scalejeremylongshore/tons-of-skills-marketplaceDerive a safe Adobe workload envelope from synthetic load, queue/backpressure behavior, current service constraints, spend, and output correctness. Use when the task requires adobe capacity and load envelope. Trigger with "load test Adobe", "scale Firefly jobs", or "Adobe capacity plan".TestareFără avertismente★ 2,9 K↓ —
- codejeremylongshore/tons-of-skills-marketplaceUse BEFORE generating, refactoring, reviewing, or debugging code. Trigger phrases include "write a function/script/class for X", "review this code/diff/PR", "refactor this", "debug this error", "is this implementation correct", "what's wrong with this code", "improve this code", "translate from X to Y", or any prompt with a code block the user wants you to act on. Also fires when planning architectural changes, picking algorithms or data structures, or evaluating dependency upgrades. Calls the code MCP tool to retrieve an engineering scaffold (failure pattern, procedure, correct-pattern example, verification step) before generating. Catches hallucinated APIs, lost edge cases, premature algorithm commitment, silent contract violations, refactors that change behavior masked by passing tests. Do NOT trigger for pure code reading with no action requested, simple syntax questions, file system operations, running existing tests, or confirming an existing pattern is fine.InginerieFără avertismente★ 2,9 K↓ —
- anima-hello-worldjeremylongshore/tons-of-skills-marketplaceGenerate reviewable React or HTML code from a Figma design using the Anima SDK. Use when testing design-to-code conversion, learning Anima's code output format, or building your first automated design-to-code pipeline. Trigger with: "anima hello world", "anima example", "figma to react", "figma to code", "anima generate code".TestareFără avertismente★ 2,9 K↓ —
- planejeremylongshore/tons-of-skills-marketplacePlane is a team behavior observatory — synthesize Plane API data into observations about how teams actually behave under pressure, not just ticket state. Five compound commands surface cycle velocity vs. plan, stale-ticket ownership churn, reviewer gate strength, stated-vs-actual priority drift, and cross-project workload concentration. Reads from the live mcp__plane MCP server when present; documentation-only otherwise. Use when investigating "why is this team's plan diverging from reality", auditing cycle health, finding orphan tickets, identifying review bottlenecks, or onboarding to a new project. Trigger with "/plane-cycle-velocity", "/plane-stale-tickets", "/plane-reviewer-gate-strength", "/plane-priority-drift", "/plane-cross-project-load", "audit Plane cycle", "team behavior plane", "how is my team behaving".PlanificareFără avertismente★ 2,9 K↓ —
- apify-hello-worldjeremylongshore/tons-of-skills-marketplaceRun your first Apify Actor and retrieve results via apify-client. Use when starting a new Apify integration, testing connectivity, or learning the Actor call/dataset retrieval pattern. Trigger with "apify hello world", "apify example", "run an apify actor", "apify quick start", "first apify scrape".TestareFără avertismente★ 2,9 K↓ —
- audience-belief-mapperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "map what our buyers believe", "capture the objections we keep hearing", or "find the switching forces that move the beachhead"; produces a belief map of the beachhead — held beliefs and mental models, the recurring objections and their reframes, and the JTBD four forces (push of the problem, pull of the new, anxiety of switching, habit of the present) — each item sourced from interviews or win-loss notes (User-provided) and labeled Measured / User-provided / Estimated, with any unverified quote or comparative claim marked "[needs source]" and routed to the claims candidates, never adjudicated here. Not for demographic or persona profiling — use audience-mapper; not for the positioning canvas — use positioning-truth-tracer. 受众信念/异议地图/切换四力/流失语言PlanificareFără avertismente★ 3 K↓ —
- builderjeremylongshore/tons-of-skills-marketplaceHands-on implementation partner for creating tools, scripts, dashboards, and prototypes. Use when the user wants working software. Trigger with "build", "create tool", "make app", "implement", "prototype", or "automate".AlteleFără avertismente★ 2,9 K↓ —
- cold-outbound-sequenceraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build a B2B cold-outbound sequence", "design reply-triage branching", "plan a domain warmup / sending throttle", or "make my outbound CAN-SPAM / opt-in compliant"; produces a multi-step outbound sequence with reply-triage branches (positive / objection / referral / not-now / opt-out), a warmup + send-throttle ramp schedule, jurisdiction opt-in/CAN-SPAM guardrails (guidance, not legal advice), and a SEND S-dimension read. Not for B2C lifecycle flows — use email-sequence-designer; not for the consent record — use consent-registry; not for computing EQS — use email-quality-auditor. B2B冷启动外联序列/回复分流/域名预热DesignFără avertismente★ 3 K↓ —
- nikadavepoon/buildwithclaudeRuns repeatable AI work as checked, budgeted workflow files. The agent captures a repeated task as a .nika.yaml DAG, audits cost/permits/schema before a single token is spent, and runs it with tamper-evident traces.ProductivitateFără avertismente★ 3,7 K↓ —
- corevercel-labs/agent-browserCore agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.OficialTestareFără avertismente★ 44,6 K↓ —
- apify-rate-limitsjeremylongshore/tons-of-skills-marketplaceHandle Apify API rate limits with proper backoff and request queuing. Use when hitting 429 errors, optimizing API request throughput, or implementing rate-aware client wrappers. Trigger with "apify rate limit", "apify throttling", "apify 429", "apify retry", "apify backoff", "too many requests apify".InginerieFără avertismente★ 2,9 K↓ —
- inbox-placement-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "track where my emails are actually landing after I send", "read my seed-list inbox vs spam vs promotions results", "trend my Gmail Postmaster / Microsoft SNDS reputation", or "did placement drop after my last send"; produces a per-provider inbox/spam/promotions placement read, a domain/IP reputation trend from Postmaster + SNDS, a send-over-send delta with named regressions, and a reusable SEND-S placement snapshot on your own exported telemetry. Not for the pre-send SPF/DKIM/DMARC auth pre-flight — use deliverability-qa; not for computing the EQS or running the vetoes — use email-quality-auditor. 邮件收件箱落点监测/收件箱vs垃圾邮件/Postmaster声誉趋势TestareFără avertismente★ 3 K↓ —
- ml-data-leakage-guardforyourhealth111-pixel/Vibe-SkillsDetects and prevents data leakage in machine learning and mathematical modeling. Use after ML tasks involving data cleaning, feature engineering, data augmentation, algorithm development, normalization, missing value imputation, dimensionality reduction, feature selection, or time series modeling. Checks if features/statistics would be available at prediction time.ProductivitateFără avertismente★ 3,8 K↓ —
- list-hygiene-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "watch my list health over time", "flag decaying / unengaged subscribers on a schedule", "why is my open rate drifting down / bounces creeping up", or "build me a re-permission and prune worklist"; runs the scheduled SEND list-decay + suppression-drift watch — an engagement-recency cohort read (30/90/180/365-day), hard-bounce and spam-complaint trend vs benchmark, suppression-list growth/leakage check, and a segmented re-permission / sunset / prune worklist tied to SEND S (list hygiene) and E (engagement-decay) sub-items. Not for the one-time pre-send authentication pre-flight — use deliverability-qa; not for the consent/suppression record itself — use consent-registry; not for computing the EQS or enforcing vetoes — use email-quality-auditor. 邮件列表健康度监控/退订漂移/沉睡用户清理TestareFără avertismente★ 3 K↓ —
- gsd:check-todosdavepoon/buildwithclaudeList pending todos and select one to work onAlteleFără avertismente★ 3,7 K↓ —
- audience-mapperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", or "deep-dive a subculture before partnering with creators"; in audience mode produces demographic/psychographic profiles, a platform-priority matrix, named personas, and an influencer-selection criteria set, and in niche mode produces a community map, culture decode (language/norms/taboos), key-voice tiers, a Brand Fit Score, and a phased entry strategy. Not for finding specific creators to contract — use influencer-discovery; not for scoring a shortlist on Suitability — use fit-scorer. 目标受众画像/人群分析 · 细分社群/亚文化调研ȘtiințăFără avertismente★ 3 K↓ —
- speckit-planforyourhealth111-pixel/Vibe-SkillsGenerate technical implementation plans from feature specifications. Use after creating a spec to define architecture, tech stack, and implementation phases. Creates plan.md with detailed technical design.PlanificareFără avertismente★ 3,8 K↓ —
lindy-hello-world
jeremylongshore/tons-of-skills-marketplace
TestareActualizat acum 13 ore
De la autor
Create your first Lindy AI agent with a real trigger and action. Use when starting with Lindy, testing your setup, or learning basic agent workflow patterns. Trigger with phrases like "lindy hello world", "lindy example", "lindy quick start", "simple lindy agent", "first lindy".
Instalare
npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-hello-world -a claude-code
Se instalează în .claude/skills/lindy-hello-world/ · 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 instrucțiuniFolosește rețeauaLicență: MIT
Verificări de siguranță pe SKILL.md
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De ce 90
Securitate100
Proveniență82
Întreținere100
Licență100
Adopție55
Fișiere (2)
- SKILL.md
- references/implementation-guide.md