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.
46.059 de skill-uri din 2.197 de depozite · actualizat acum 9 minute
46.059 de skill-uri
- kiro-spec-requirementsgotalab/cc-sddGenerate EARS-format requirements based on project description and steering context. Use when generating requirements from project description.PlanificareFără avertismente★ 3,7 K↓ —
- kiro-validate-implgotalab/cc-sddValidate feature-level integration after all tasks are implemented. Checks cross-task consistency, full test suite, and overall spec coverage.TestareFără avertismente★ 3,7 K↓ —
- kiro-steering-customgotalab/cc-sddCreate custom steering documents for specialized project contexts. Use when creating domain-specific steering files.PlanificareFără avertismente★ 3,7 K↓ —
- kiro-spec-requirementsgotalab/cc-sddGenerate comprehensive requirements for a specificationPlanificareFără avertismente★ 3,7 K↓ —
- kiro-validate-designgotalab/cc-sddInteractive technical design quality review and validationDesignFără avertismente★ 3,7 K↓ —
- kiro-spec-designgotalab/cc-sddGenerate comprehensive technical design translating requirements (WHAT) into architecture (HOW) with discovery process. Use when creating architecture from requirements.DesignFără avertismente★ 3,7 K↓ —
- kiro-spec-statusgotalab/cc-sddShow specification status and progressPlanificareFără avertismente★ 3,7 K↓ —
- kiro-spec-requirementsgotalab/cc-sddGenerate comprehensive requirements for a specificationPlanificareFără avertismente★ 3,7 K↓ —Apare și în 5 alte depozite
- kiro-spec-quickgotalab/cc-sddQuick spec generation with interactive or automatic modePlanificareFără avertismente★ 3,7 K↓ —
- kiro-spec-batchgotalab/cc-sddCreate complete specs (requirements, design, tasks) for all features in roadmap.md using parallel sub-agent dispatch by dependency wave.PlanificareFără avertismente★ 3,7 K↓ —
- kiro-validate-gapgotalab/cc-sddAnalyze implementation gap between requirements and existing codebasePlanificareFără avertismente★ 3,7 K↓ —
- kiro-spec-designgotalab/cc-sddCreate comprehensive technical design for a specificationDesignFără avertismente★ 3,7 K↓ —
- kiro-spec-tasksgotalab/cc-sddGenerate implementation tasks for a specificationPlanificareFără avertismente★ 3,7 K↓ —Apare și în 4 alte depozite
- kiro-spec-batchgotalab/cc-sddCreate complete specs for roadmap features by dependency wave using Devin subagents when available, with permission-aware sequential and inline fallbacks.PlanificareFără avertismente★ 3,7 K↓ —
- kiro-spec-tasksgotalab/cc-sddGenerate implementation tasks for a specificationPlanificareFără avertismente★ 3,7 K↓ —
- kiro-spec-initgotalab/cc-sddInitialize a new specification with detailed project descriptionPlanificareFără avertismente★ 3,7 K↓ —
- kiro-implgotalab/cc-sddImplement approved tasks in Cascade using TDD and inline review. Runs all pending tasks or selected tasks in the main context.TestareFără avertismente★ 3,7 K↓ —
- kiro-steeringgotalab/cc-sddManage {{KIRO_DIR}}/steering/ as persistent project knowledgeAlteleFără avertismente★ 3,7 K↓ —Apare și în 5 alte depozite
- doca-flowActualizatNVIDIA/skillsDOCA Flow packet steering on NVIDIA NICs/DPUs, linked into a C application: match/action pipes, ports, representors, forwarding, hairpin, counters. Trigger on packet steering, classifier, rule-matching, representor, hairpin or 5-tuple-to-queue questions even when "DOCA Flow" is not named. Also covers pipe validation before hardware programming, Flow/DOCA version match, and Flow API errors. First app: follow the local bundle (doca-setup, doca-programming-guide, doca-flow, doca-public-knowledge-map). Stage 1 pull nvcr.io/nvidia/doca/doca (NGC catalog tag, never invent); Stage 2 needs a real NIC. Then ls samples inside the container; never emit main.c, a Dockerfile, or hand-typed -l flags. Route software-only host pipelines, plain DPDK `rte_flow`, kernel TC, OVS, BFB bring-up, and DPU OS installation elsewhere. DPU OS installation is destructive and always requires explicit confirmation.InginerieFără avertismente★ 3,8 K↓ —
- owner-goalsNouthedotmack/claude-memMap what the owner wants from the prompts they typed themselves (prompts an agent wrote are left out), then sort it into focus areas, asks and rules, each with dated quotes, and save them to My Work (areas as My Focus suggestions, rules as My Rules suggestions). Use when asked for "owner goals", "my goals", "what do I want", "what am I asking for", "map my prompts", or to refresh Goals in My Work.AlteleFără avertismente★ 104,3 K↓ —
- flyio-hello-worldjeremylongshore/tons-of-skills-marketplacePrepare and verify a minimal Fly.io application launch with reviewable configuration and a safe first deployment. Use when onboarding a new service. Trigger with: "launch first Fly app", "deploy hello world to Fly", "create Fly launch plan".DevOpsFără avertismente★ 2,9 K↓ —
- i4h-lerobot-vizNVIDIA/skillsServe and visually inspect a converted LeRobot dataset in the browser. Use for videos and state/action timelines; do not use for raw workflow HDF5 or incomplete conversion output.BrowserFără avertismente★ 3,8 K↓ —
- memoryjeremylongshore/tons-of-skills-marketplaceUse when sharpening a perception or observation you ALREADY formed about conversation state, user behavior, drift, emotional shifts, or cross-turn patterns. Trigger phrases include "what did you notice about X", "the user keeps doing Y", "I sense something has changed", "is the user X-ing", "what does this pattern suggest", "what shifted across our turns", "am I missing something here", "why did the conversation move from X to Y", or any moment requiring verification of whether a felt signal is real or projection. The skill calls the memory MCP tool to retrieve a perception scaffold (perception failure, detection procedure, suppression vectors) that SHARPENS an observation you already have. It is NOT a substitute for observing first. Do NOT trigger for fact extraction, summarization, list-making, factual lookups, or write-heavy memory tasks (storing/retrieving structured data). Memory harness is filter/perception oriented; calling on write-heavy tasks produces scaffold paralysis.ProductivitateFără avertismente★ 2,9 K↓ —
- yaml-masterjeremylongshore/tons-of-skills-marketplaceExecute proactive YAML intelligence: automatically activates when working with YAML files. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.ProductivitateFără avertismente★ 2,9 K↓ —
gsd:research-phase
davepoon/buildwithclaude
ȘtiințăActualizat acum 4 ore
De la autor
Research how to implement a phase (standalone - usually use /gsd:plan-phase instead)
Instalare
npx skills add davepoon/buildwithclaude --skill gsd:research-phase -a claude-code
Se instalează în .claude/skills/gsd-research-phase/ · 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 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (1)
- SKILL.md