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.
48.622 de skill-uri din 2.355 de depozite · actualizat acum 17 ore
48.622 de skill-uri
- quellen-livecheckKlotzkette/claude-fuer-deutsches-rechtFür Rechtsquellen-Livecheck: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Energierecht.AlteleFără avertismente★ 1,8 K↓ —
- quality-gateKlotzkette/claude-fuer-deutsches-rechtFür Common-Law-Qualitätstor: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.JuridicFără avertismente★ 1,8 K↓ —
- factoring-agbKlotzkette/claude-fuer-deutsches-rechtFür Factoring AGB: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- scenario-planningcbrock84/headcountPlans under genuine uncertainty — building scenarios, identifying which assumptions are load-bearing, setting early-warning indicators, and stress-testing a plan against futures rather than forecasting one. Use this when a decision depends on something unknowable, when a plan assumes conditions that may not hold, before a large irreversible commitment, or when a market, regulatory, or technology shift could invalidate the strategy.PlanificareFără avertismente★ 2,6 K↓ —
- mex-inboxmex-memory/mexDraft and review contributions to existing MEX project knowledge in the repo wiki. Use when the user wants to capture a team decision, convention, or architecture note, propose an addition or correction for team review, or invokes /mex-inbox or $mex-inbox. Also supports existing Spec proposals. Keywords: mex, project memory, CLAUDE.md, team memory, drift, inbox. Do not activate for brainstorming alone, routine GROW upkeep, email inboxes, session logs, or handoffs.PlanificareFără avertismente★ 1,8 K↓ —
- todoistLeoYeAI/agent-master-skillsManage tasks and projects in Todoist. Use when user asks about tasks, to-dos, reminders, or productivity.ProductivitateFără avertismente★ 2,2 K↓ —
- arbeitnehmer-statusKlotzkette/claude-fuer-deutsches-rechtFür Arbeitnehmer Status: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- lamindbK-Dense-AI/scientific-agent-skillsManages biological datasets and models with LaminDB, including artifact registration, lineage tracking, schema validation, Bionty ontology annotation, query/search, collections, branches, storage, and workflow integrations. Use for reproducible biological data curation or a LaminDB lakehouse.ȘtiințăFără avertismente★ 55,6 K↓ —Apare și în 1 alt depozit
- shapK-Dense-AI/scientific-agent-skillsExplain and audit machine-learning predictions with SHAP. Use for selecting SHAP explainers and maskers, computing and validating feature attributions, handling multi-output explanations, and producing local or global SHAP visualizations.AlteleFără avertismente★ 55,6 K↓ —Apare și în 2 alte depozite
- dev-requirementscodeaholicguy/ai-devkitAI DevKit · Requirements phase guidance for starting features and reviewing requirements. Use when the user wants to capture a new requirement, clarify product scope, initialize feature docs, review requirements, or run dev-lifecycle phases 1-2.PlanificareFără avertismente★ 1,7 K↓ —
- agent-managementcodeaholicguy/ai-devkitAI DevKit · Manage running AI agents with ai-devkit agent commands. Use when an agent needs to identify itself, list agents, start workers, inspect agent detail, assign work, group agents, resume sessions, stop agents, or delegate work to other agents.AlteleFără avertismente★ 1,7 K↓ —
- polarsK-Dense-AI/scientific-agent-skillsHigh-performance DataFrame library for Python ETL, analytics, and pandas migration. It supports expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.DateFără avertismente★ 55,6 K↓ —Apare și în 2 alte depozite
- dev-designcodeaholicguy/ai-devkitAI DevKit · Design phase guidance for reviewing feature design against requirements. Use when the user wants to validate architecture, review design docs, resolve design trade-offs, or run dev-lifecycle phase 3.DesignFără avertismente★ 1,7 K↓ —
- capital-structure-and-covenantscbrock84/headcountDecides how the business is financed and what that financing then requires of it — debt versus equity, weighted average cost of capital as a hurdle rate, how much leverage cash flow can carry, and the financial, affirmative and negative covenants, definitions, test dates and cure rights that come attached. Use this to evaluate a financing option, set an investment hurdle, check whether a planned decision will trip a covenant, or work out what a lender can do when one breaks.TestareFără avertismente★ 2,6 K↓ —
- pptx-reference-deck-analysiswshobson/agentsUse when analyzing a reference PPTX for read-only structure, theme, typography, layout rhythm, diagnostics, derived template catalogs, or safe OOXML package inspection.DocumenteFără avertismente★ 42,1 K↓ —
- build-evidence-mapgithub/awesome-copilotBuild an auditable evidence map for a contested technical choice, research synthesis, proposal review, or consequential decision. Use when Copilot must preserve supporting, contradicting, qualifying, and missing evidence with exact source regions instead of collapsing disagreement into prose.ȘtiințăFără avertismente★ 40,7 K↓ —
- customer-onboarding-and-implementationcbrock84/headcountTakes a new customer from signature to working — setting a definition of live that both sides agreed before the contract was signed, planning and staffing the implementation, running data migration and integration realistically, training the people who will actually use it, and handing over to the ongoing relationship. Use this to design an onboarding motion, rescue a stalled implementation, work out why customers who bought never went live, or scope the services a deal actually needs.DesignFără avertismente★ 2,6 K↓ —
- memorycodeaholicguy/ai-devkitAI DevKit · Use the memory CLI as a durable knowledge layer. Search before non-trivial work, store verified reusable knowledge, update stale entries, and avoid saving transcripts, secrets, or one-off task progress.ProductivitateFără avertismente★ 1,7 K↓ —
- taskcodeaholicguy/ai-devkitAI DevKit · Track dev-lifecycle / dev-debug progress on a durable task with the ai-devkit task CLI. Use to record phase, progress, next step, blockers, and validation evidence.ProductivitateFără avertismente★ 1,7 K↓ —
- add-new-opc-skillReScienceLab/opc-skillsChecklist and automation guide for adding a new skill to the OPC Skills project. Ensures all required files, metadata, logos, and listings are created before release. Use when adding a new skill, publishing a skill, or preparing a skill for release.AlteleFără avertismente★ 1,9 K↓ —
- simmerLeoYeAI/agent-master-skillsThe best prediction market interface for AI agents. Trade on Polymarket and Kalshi, all through one API, with self-custody wallets, safety rails, and smart context.DesignFără avertismente★ 2,2 K↓ —
- anschlussKlotzkette/claude-fuer-deutsches-rechtFür Energierecht — Allgemein: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- pkedgeLeoYeAI/agent-master-skillsMonitor Polymarket prediction markets, spot mispricings between crowd probabilities and real-world evidence, track whale positioning from the top-50 leaderboard wallets, and detect fresh wallet insider signals. Supports four modes: SCAN (daily digest of flagged markets), DEEP DIVE (full single-market analysis with web search evidence), WHALE WATCH (consensus detection across top trader positions), and INSIDER WATCH (fresh wallet large-position detection).AlteleFără avertismente★ 2,2 K↓ —
- markdown-to-word-mermaidgithub/awesome-copilotExport Markdown containing Mermaid code fences to Word (.docx) with embedded SVG diagrams and PNG fallbacks. Use when diagram sharpness, Office-compatible labels, or page-aware placement matters. Not for Word-to-Markdown conversion, editable Office shapes, or general slide creation.DocumenteFără avertismente★ 40,7 K↓ —
agent-platform-tuning
google/skills
OficialDevOpsActualizat alaltăieri
De la autor
Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).
Instalare
npx skills add google/skills --skill agent-platform-tuning -a claude-code
Se instalează în .claude/skills/agent-platform-tuning/ · 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
Rulează scripturile incluseFolosește rețeauaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 89
Securitate85
Proveniență100
Întreținere100
Licență100
Adopție67
Fișiere (12)
- SKILL.md
- references/data_prep.md
- references/hf_datasets.md
- references/models.md
- references/requirements.txt
- references/tuning_guide.md
- scripts/calculate_cost.py
- scripts/cancel_tuning_job.py
- scripts/list_models.py
- scripts/monitor_tuning_job.py
- scripts/prepare_dataset.py
- scripts/tune_open_model.py