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.
45.604 skill-uri din 2.205 depozite · actualizat acum 5 ore
44.573 de skill-uri
- task-observerrebelytics/one-skill-to-rule-them-allMonitors task execution for skill improvement opportunities: logs patterns, user corrections and methodology worth preserving to the workspace, turns them into skill updates in a weekly review, and flags repeating work as new skills. Use during ANY multi-step task, agentic workflow, or work session. Also triggers in post-task feedback discussions and when the user mentions skill observations, the observation log, or skill taxonomy. Also known as "One Skill to Rule Them All" — trigger on this phrase too. IMPORTANT: invoke this skill before the FIRST tool call of any session and before writing or proposing a plan — any turn that will involve a tool call counts. This sentence is the session-start trigger and the only activation layer that survives an unreachable config file; pair it with a CLAUDE.md instruction or a session-start hook (references/environments.md). A subagent dispatched by a session already running it does not run it: it writes nothing and puts its findings in its report.ProductivitateFără avertismente★ 3,5 K↓ —
- gsd:code-reviewdavepoon/buildwithclaudeReview source files changed during a phase for bugs, security issues, and code quality problemsInginerieFără avertismente★ 3,7 K↓ —
- narrative-drift-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; produces a drift report — self-drift per flagship surface vs the narrative-registry canon over time (via wayback.py, change history Measured with as-of dates), competitor-repositioning alerts, an explicit repositioning-trigger condition set, and a D1/W1/M1 message-shift retro (intended vs actual pull-through, evidence-labeled) — feeding the TALE L drift-audit sub-items and the narrative-whiplash guardrail fact base. Not for the first-time consistency check before a surface ships — use narrative-cascade-planner; not for computing the TALE profile result or running the vetoes — use narrative-quality-auditor; not for echo-rate / AI-answer resonance measurement — use narrative-resonance-monitor. 自漂移监测/竞品重定位告警/重定位触发/叙事漂移复盘PlanificareFără avertismente★ 3 K↓ —
- golang-dependency-injectionsamber/cc-skills-golangComprehensive guide for dependency injection (DI) in Golang. Covers why DI matters (testability, loose coupling, separation of concerns, lifecycle management), manual constructor injection, and DI library comparison (google/wire, uber-go/dig, uber-go/fx, samber/do). Use this skill when designing service architecture, setting up dependency injection, refactoring tightly coupled code, managing singletons or service factories, or when the user asks about inversion of control, service containers, or wiring dependencies in Go. For a specific DI library, → See `samber/cc-skills-golang@golang-google-wire`, `samber/cc-skills-golang@golang-uber-dig`, `samber/cc-skills-golang@golang-uber-fx`, or `samber/cc-skills-golang@golang-samber-do` skills.PlanificareFără avertismente★ 3,6 K↓ —
- miro-automationdavepoon/buildwithclaudeAutomate Miro tasks via Rube MCP (Composio): boards, items, sticky notes, frames, sharing, connectors. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- tao-train-mask-auto-labelNVIDIA/skillsMAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotations (point or box annotations) using a ViT-MAE backbone. Use when training, evaluating, or running inference for a TAO MAL model. Trigger phrases include "train MAL", "Mask Auto-Label", "weakly-supervised segmentation", "box-prompted segmentation", "minimal-annotation mask prediction".AlteleFără avertismente★ 3,7 K↓ —
- ulw-loopcode-yeongyu/oh-my-openagentA goal-like loop that decomposes work into systematic, evidence-bound ultrawork steps. Use when the user wants a goal loop or durable, checkpointed execution.AlteleFără avertismente★ 70,3 K↓ —
- jira-automationdavepoon/buildwithclaudeAutomate Jira tasks via Rube MCP (Composio): issues, projects, sprints, boards, comments, users. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- tao-finetune-cosmos-embedNVIDIA/skillsCosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning. Use when the user asks to "fine-tune Cosmos-Embed1", "run cosmos-embed inference", "export Cosmos-Embed1", "embed videos", or "search videos with text".MediaFără avertismente★ 3,7 K↓ —
- helpdavepoon/buildwithclaudeOne-screen quick reference for the Origin plugin. Lists the daily verbs, the daily flow, where data lives, and how to view it without a GUI. Use when the user says "help", "what can I do", "list origin commands", "how do I use origin", or invokes `/help`.AlteleFără avertismente★ 3,7 K↓ —
- zarr-pythonforyourhealth111-pixel/Vibe-SkillsChunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.InginerieFără avertismente★ 3,8 K↓ —
- llm-wikiAr9av/obsidian-wikiExplain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decisions; operational ingest/query/lint work uses dedicated skills.PlanificareFără avertismente★ 3,6 K↓ —
- semgrep-rule-variant-creatortrailofbits/skillsCreates language variants of existing Semgrep rules. Use when porting a Semgrep rule to specified target languages. Takes an existing rule and target languages as input, produces independent rule+test directories for each language.TestareFără avertismente★ 7,8 K↓ —
- godot-animationgamedev-skills/awesome-gamedev-agent-skillsAnimate in Godot 4.7 three ways: AnimationPlayer for keyframed clips (incl. Call Method tracks), AnimationTree with state machines and blend spaces for character animation, and Tween for short procedural/UI tweens via create_tween(). Use when working with AnimationPlayer/AnimationTree nodes in a .tscn, blending character states, sprite-sheet animation, or code-driven Tweens.MediaFără avertismente★ 4,1 K↓ —
- tao-train-codetrNVIDIA/skillsCo-DETR (CoDINO) for object detection. A DETR-family detector with collaborative hybrid assignment — auxiliary one-to-many heads supervise the encoder during training, giving strong closed-set accuracy at high inference cost. Use when training, evaluating, or running inference for a TAO Co-DETR model. Trigger phrases include "train Co-DETR", "run CoDINO", "codetr inference", "collaborative DETR", "autolabel detections with Co-DETR".AlteleFără avertismente★ 3,7 K↓ —
- skill-community-opsZJU-REAL/Easel评论区运营与舆情危机应对：为一批评论生成分层回复模板（赞美/提问/求购/杠精/黑粉） 与分级处理规则，从评论中挖掘选题反哺内容，负面事件时做危机分级 + 声明草稿 + 统一口径。 当用户说"回复评论"、"评论区运营"、"评论怎么回"、"钓评论"、"引导互动"、 "评论区选题"、"舆情"、"危机公关"、"差评"、"黑粉"、"被骂了"、"道歉声明"、 "统一口径"、"负面缠上来了"、"翻车了怎么办"时触发。 和 skill-quality-gate 的区别：quality-gate 是发布前合规质检， community-ops 是发布后的评论互动与危机响应。AlteleFără avertismente★ 4,1 K↓ —
- skill-algorithm-updatesZJU-REAL/Easel追踪抖音、小红书、B站、微博、知乎和视频号的算法、推荐分发、审核与变现规则变化，并分析对创作者的影响。 当用户说“算法/推荐机制变了吗、流量规则更新、为什么流量下降、平台规则变化”时使用。 内容热点用 skill-trending-topics；泛行业资讯用 skill-news-intelligence；本 SKILL 只看平台机制。AlteleFără avertismente★ 4,1 K↓ —
- skill-topic-evaluatorZJU-REAL/Easel评估单个选题的潜力，按统一维度（流量潜力、账号匹配、 竞争差异化、时效价值、变现空间、制作成本、合规风险）打分，输出"做/不做/改方向"建议。 当用户说"这个选题值不值得做"、"评估一下"、"能不能火"、"有没有流量"、 "做不做这个"、"选题评估"、"值得做吗"、"这个话题行不行"、"帮我判断一下"时触发。 skill-content-matrix 批量生成选题池；skill-post-scorer 评估已完成内容，本 SKILL 评估尚未制作的单个选题。AlteleFără avertismente★ 4,1 K↓ —
- g-assist-mcp-skillNVIDIA/skillsUse this skill to check or change this machine's NVIDIA display and GPU settings, such as resolution, refresh rate, V-Sync, G-SYNC, brightness, color, and GPU performance.AlteleFără avertismente★ 3,7 K↓ —
- session-investigatorevalstate/fast-agentInvestigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON format, message structure, tool call/result correlation, and common failure patterns.FinanțeFără avertismente★ 3,9 K↓ —
- provider-docshashicorp/agent-skillsCreate, update, and review Terraform provider documentation for Terraform Registry using HashiCorp-recommended patterns, tfplugindocs templates, and schema descriptions. Use when adding or changing provider configuration, resources, data sources, ephemeral resources, list resources, functions, actions, or guides; when validating generated docs; and when troubleshooting missing or incorrect Registry documentation.OficialDevOpsFără avertismente★ 907↓ —
- 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-designgotalab/cc-sddInteractive technical design quality review and validationDesignFără avertismente★ 3,7 K↓ —Apare și în 5 alte depozite
- wiki-updateAr9av/obsidian-wikiSync knowledge from the current project into the Obsidian wiki. Use when work already in the current project should be distilled into the vault; named-vault routing includes @work update wiki. wiki-capture saves the current conversation and wiki-ingest handles external/new sources.ProductivitateFără avertismente★ 3,6 K↓ —
transformers
foryourhealth111-pixel/Vibe-Skills
MediaActualizat acum 8 ore
De la autor
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Instalare
npx skills add foryourhealth111-pixel/Vibe-Skills --skill transformers -a claude-code
Se instalează în .claude/skills/transformers/ · 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: APACHE-2.0
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (6)
- SKILL.md
- references/generation.md
- references/models.md
- references/pipelines.md
- references/tokenizers.md
- references/training.md