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.
45.186 de skill-uri din 2.196 de depozite · actualizat acum 10 minute
9.687 de skill-uri
- lintGoldziher/ai-rulezRun the project linters and fix what they reportAlteleFără avertismente★ 163↓ —Apare și în 1 alt depozit
- claude-handofftt-a1i/matt-skills-with-to-goalHand the current conversation off to a fresh background agent that picks up the work immediately.AlteleFără avertismente★ 187↓ —
- revenue-decompagentii-ai/agentii-investment-intelligenceRevenue decomposition, segment breakdown, geographic revenue split, product-line waterfall, revenue mix analysis, business segment performance, divisional revenue, revenue concentration, customer revenue dependency, channel revenue analysisAlteleFără avertismente★ 208↓ —
- ticket-replyGoldziher/ai-rulezDraft a customer reply from a ticket.AlteleFără avertismente★ 163↓ —
- sales-reportGoldziher/ai-rulezDocument the quarterly sales report queries.AlteleFără avertismente★ 163↓ —
- leading-indicatorsagentii-ai/agentii-investment-intelligenceLeading economic indicators analysis, ISM PMI, yield curve, consumer sentiment UMCSI, jobless claims, building permits, economic turning point detection, recession signal analysisAlteleFără avertismente★ 208↓ —
- mofaplus-multi-omicsjaechang-hits/SciAgent-SkillsMulti-Omics Factor Analysis v2 (MOFA+) with mofapy2. Jointly decompose omics layers (scRNA, ATAC, proteomics, methylation) into latent factors capturing major variation. Multi-group designs. AnnData views → MOFA object → train → variance explained → correlate factors with metadata → visualize/cluster → enrich top loadings.AlteleFără avertismente★ 383↓ —
- business-modelagentii-ai/agentii-investment-intelligenceBusiness model classification, business model analysis, structural analysis of how a company makes money, product offering decomposition, distribution channel analysis, customer segment analysis, revenue model identification, market sizing TAM SAM SOM, competitive positioning, business unit performance, management team & leadership analysis, what does the company sell, how does the company go to market, business model type platform service product, channel mix direct vs indirect, revenue concentration risk, CEO CFO executive backgrounds and changesAlteleFără avertismente★ 208↓ —Apare și în 2 alte depozite
- unit-economicsagentii-ai/agentii-investment-intelligenceUnit economics analysis, CAC LTV estimation, churn inference, gross margin per unit, customer economics, subscription economics, per-unit profitability, contribution margin, payback period, cohort economicsAlteleFără avertismente★ 208↓ —
- js-reverseskillmds/skillmd在使用 js-reverse-mcp 做前端 JavaScript 逆向时使用，适用于签名链路定位、页面观察取证、运行时采样、本地补环境复现与证据化输出。优先适配当前环境里的 js-reverse_* 工具，需要更强的浏览器/CDP/Hook 面时联动 jshookmcp。AlteleFără avertismente★ 190↓ —
- execute-fleetanombyte93/prd-taskmasterPhase execution skill for licensed Atlas Fleet runs. Use when HANDOFF has selected Atlas Fleet and the project should be executed across isolated launcher worktrees with inbox-based result collection, verified CDD cards, sequential integration merges, and one final PR.AlteleFără avertismente★ 606↓ —
- nw-wizard-shared-rulesnWave-ai/nWaveShared rules for feature ID derivation and wave detection used by /nw-new, /nw-continue, and /nw-fast-forward wizardsAlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
- nw-opportunity-mappingnWave-ai/nWaveOpportunity Solution Trees, opportunity scoring, Lean Canvas, JTBD job mapping, and technique selection guideAlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
- nw-user-story-mappingnWave-ai/nWaveUser story mapping for backlog management and outcome-based prioritization. Load during Phase 2.5 (User Story Mapping) to produce story-map.md and prioritization.md.AlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
- nw-fp-domain-modelingnWave-ai/nWaveDomain modeling with algebraic data types, smart constructors, and type-level error handlingAlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
- nw-collapse-detectionnWave-ai/nWaveDocumentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violationsAlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
- nw-production-safetynWave-ai/nWaveAgent safety boundaries - input validation, output filtering, scope constraints, and document creation policyAlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
- nw-ddd-eventsourcingnWave-ai/nWaveEvent Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolutionAlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
- nw-divio-frameworknWave-ai/nWaveDIVIO/Diataxis four-quadrant documentation framework - type definitions, classification decision tree, and signal catalogAlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
- nw-jtbd-analysisnWave-ai/nWaveJTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoringAlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
- nw-canarynWave-ai/nWaveCanary skill for auto-injection detectionAlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
- nw-platform-engineering-foundationsnWave-ai/nWaveFoundational platform engineering knowledge from key references -- Continuous Delivery, SRE, Accelerate, Team Topologies, Chaos Engineering, and Secure Delivery. Load when contextual grounding in platform engineering theory is needed.AlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
- nw-shared-artifact-trackingnWave-ai/nWaveShared artifact registry, common artifact patterns, and integration validation. Load when tracking data that flows across journey steps or validating horizontal coherence.AlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
- nw-outcome-kpi-frameworknWave-ai/nWaveOutcome KPI definition methodology - synthesizes Who Does What By How Much (Gothelf/Seiden), Running Lean (Maurya), and Measure What Matters (Doerr) into a practical framework for measurable outcome KPIsAlteleFără avertismente★ 623↓ —Apare și în 1 alt depozit
production-readiness
magnus919/agent-skills
AlteleActualizat acum 10 ore
De la autor
Define risk-scaled evidence packets and go/no-go/defer/exception launch gates with accountable owners. Do not use this skill for cross-domain production composition; use `production-excellence` for assembling migration, recovery, capacity, and incident evidence.
Instalare
npx skills add magnus919/agent-skills --skill production-readiness -a claude-code
Se instalează în .claude/skills/production-readiness/ · 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
Niciun avertisment.
De ce 84
Securitate100
Proveniență66
Întreținere100
Licență100
Adopție37
Fișiere (5)
- README.md
- SKILL.md
- evals/evals.json
- references/discovery-brief.md
- references/readiness-record.md