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Claude Skills by vasilyu1983
github.com/vasilyu1983144 skills0 installs223 views
- Agents HooksConfigures Claude Code hooks and Codex hooks.json/notify. Use when adding PreToolUse guards, Stop hooks, managed hooks, format-on-save, preflight, audits, or worktree/budget hooks.Votes: 0GitHub stars: 89
- Agents McpConfigures and hardens Claude Code and Codex MCP servers. Use when connecting databases, APIs, SaaS, building servers, or serving a clearance-filtered knowledge base.Votes: 0GitHub stars: 89
- Agents MemoryOwns instruction files: AGENTS.md, CLAUDE.md, personal and repo rules. Use when writing, pruning, auditing them, sharing rules across Claude and Codex, or fixing ignored rules.Votes: 0GitHub stars: 89
- Agents Skills Feedback LoopAdds per-skill learnings loops for dated patterns, mistakes, and domain facts. Use when wiring skill memory, consolidation, or drift audits.Votes: 0GitHub stars: 89
- Agents SkillsCreates and audits agent skills: SKILL.md, references, scripts, runtime metadata. Use when writing, validating, or security-reviewing a skill, or fixing truncated skill listings.Votes: 0GitHub stars: 89
- Agents Swarm OrchestrationRuns multi-agent waves across subagents, teams, and workflows. Use when fanning out over a dependency graph, adding verifier or voting passes, or loop-until-dry Loop Engineering.Votes: 0GitHub stars: 89
- Ai AgentsAI agent architecture, graph and loop composition, protocol choice, evaluation, and observability. Use when scoping or reviewing systems before implementation.Votes: 0GitHub stars: 89
- Ai Architecture AdvisorChooses among AI/ML approaches: classical ML, LLM, RAG, fine-tuning, agents, embeddings, MoE or SSM. Use when picking or scaling an architecture, or self-host vs API.Votes: 0GitHub stars: 89
- Ai Coding Agents Observability EvalsDesigns coding-agent observability and evals. Use when measuring traces, replay, checkpoint lineage, quality trajectories, tool grading, regression, or cost.Votes: 0GitHub stars: 89
- Ai Coding Agents PluginsDesigns coding-agent plugin systems. Use when adding plugin manifests, extension points, or reloadable integrations, or keeping plugin cache compatible across CLI upgrades.Votes: 0GitHub stars: 89
- Ai Coding Agents Provider RuntimeDesigns provider runtimes for coding agents. Use when modeling model abstraction, streaming semantics, tool-call normalization, retries, or fallback routing.Votes: 0GitHub stars: 89
- Ai Coding Agents Settings PolicyDesigns coding-agent settings and fleet CLI version control. Use when diagnosing precedence, managed policy, version pins, update kill switch, catalog budgets, or searchable notes.Votes: 0GitHub stars: 89
- Ai Coding AgentsCreates coding-agent definitions (review, test, refactor, team) for Claude Code, Codex, and Agent SDK. Use when writing a code-review or test subagent, not a runtime.Votes: 0GitHub stars: 89
- Ai Data Curation PretrainingBuilds LLM pretraining corpora from Common Crawl: extract, filter, deduplicate, decontaminate, mix, synthesize. Use when curating or ablating a pretraining corpus or data pipeline.Votes: 0GitHub stars: 89
- Ai Deep ResearchBuilds repeatable deep-research workflows for verified synthesis. Use when producing evidence-backed briefs, comparisons, dossiers, or research pipelines.Votes: 0GitHub stars: 89
- Ai Distributed TrainingGuides multi-GPU pre-training: DDP, FSDP2, ZeRO, tensor/pipeline/expert parallelism, fp8/Muon. Use when scaling a run, training MoE, or reproducing GPT-2 on rented GPUs.Votes: 0GitHub stars: 89
- Ai EvalsDesigns trustworthy LLM, agent, responsible-AI, and multimodal evaluations. Use when measuring quality, fairness, privacy, grounding, safety, or judge reliability.Votes: 0GitHub stars: 89
- Ai Llm InferenceLLM serving for latency, batching, caching, quantization, and routing. Use when tuning vLLM or SGLang, sizing KV cache, adding speculative decoding, or cutting serving cost.Votes: 0GitHub stars: 89
- Ai LlmAdapts LLMs: SFT dataset loss masking, LoRA and QLoRA, full FT vs PEFT, distillation, pruning, tokenizer fragmentation. Use when fine-tuning or compressing a model.Votes: 0GitHub stars: 89
- Ai Local Model OpsRuns local and self-hosted LLMs with Ollama, LM Studio, MLX, llama.cpp, and Open WebUI. Use when choosing GGUF quants, sizing VRAM, or running models privately.Votes: 0GitHub stars: 89
- Ai Ml Data ScienceBuilds ML pipelines: EDA, features, leakage checks, evaluation. Use when doing data science or explaining fairness, privacy, speech, vision-language, or diffusion mechanics.Votes: 0GitHub stars: 89
- Ai Ml TimeseriesBuilds and backtests demand and revenue forecasts: rolling-origin backtests, prediction intervals, reconciliation, zero-shot foundation models. Use when forecasting time series.Votes: 0GitHub stars: 89
- Ai MlopsRuns production ML and LLM systems. Use when deploying, canarying, rolling back, monitoring drift or feature skew, promoting champions, migrating providers, or handling incidents.Votes: 0GitHub stars: 89
- Ai Post TrainingChooses DPO, GRPO/RLVR, reward models, and over-optimization controls. Use when adapting a pretrained or SFT model with preference or verifiable reward signals.Votes: 0GitHub stars: 89
- Ai PretrainingBuilds a GPT and BPE tokenizer from scratch. Use when implementing autograd, attention, a nanoGPT loop, muP hyperparameter transfer, WSD annealing, loss spikes, or mid-training.Votes: 0GitHub stars: 89
- Ai Product Operating ModelDesigns operating models for AI in product teams. Use when planning platform ownership, provider strategy, data boundaries, evals, or sensitive-data controls.Votes: 0GitHub stars: 89
- Ai Prompt EngineeringPrompt engineering for production LLMs — structured outputs, evals, RAG, tool workflows, multimodal prompting, and safety. Use when designing, debugging, or shipping prompts.Votes: 0GitHub stars: 89
- Ai RagDesigns RAG retrieval for LLM grounding: chunking, BM25+vector hybrid, reranking, GraphRAG. Use when adding embeddings to SQLite FTS5 search or running held-out retrieval eval.Votes: 0GitHub stars: 89
- Ai Vector BrainBuilds vector-brain implementations for repos, docs hubs, and compliance corpora. Use when creating pgvector retrieval brains with scripts, SQL, manifests, and evals.Votes: 0GitHub stars: 89
- Ai Voice BotsBuilds production voice bots and IVR with Python STT/TTS pipelines. Use when designing telephony, streaming audio, latency budgets, or voice quality monitoring.Votes: 0GitHub stars: 89
- Data Analytics EngineeringBuilds analytics engineering layers for metrics, contracts, and BI-ready models. Use when shaping dbt or SQLMesh marts, metric governance, lineage, or data quality.Votes: 0GitHub stars: 89
- Data Lake PlatformDesigns lakehouse platforms across Iceberg, Delta, Hudi, and Paimon. Use when choosing catalogs, CDC paths, query engines, governance, or cost controls.Votes: 0GitHub stars: 89
- Data MetabaseAutomates Metabase cards, dashboards, Remote Sync, embedding, tenants, and the Agent API/MCP server for AI workflows. Use when scripting, promoting, or embedding Metabase content.Votes: 0GitHub stars: 89
- Data Sql OptimizationDiagnoses and tunes SQL for OLTP workloads on PostgreSQL, MySQL, and SQL Server. Use when tuning queries, reading plans, indexing, or fixing lock contention.Votes: 0GitHub stars: 89
- Data StreamingDesigns streaming platforms for Kafka, Flink, CDC, and lakehouse ingestion. Use when planning event backbones, CDC pipelines, schema governance, or real-time lakehouse delivery.Votes: 0GitHub stars: 89
- Dev Ai Coding MetricsMeasures AI coding impact and extension robustness. Use when tracking delivery, quality trajectories, cost, experience, pilots, scorecards, or leadership reporting.Votes: 0GitHub stars: 89
- Dev Api DesignDesigns durable API contracts across REST, GraphQL, gRPC, tRPC, and AsyncAPI. Use when specifying interfaces, auth, versioning, errors, rate limits, or agent APIs.Votes: 0GitHub stars: 89
- Dev Context Code GraphBuilds per-repo code graphs in JSON and markdown-ready derived artifacts. Use when you need blast radius, symbol-level maps, import graphs, inheritance, or test links.Votes: 0GitHub stars: 89
- Dev Context EngineeringContext-driven AI development with AGENTS.md, repo knowledge bases, Claude Code, Codex, and Copilot. Use when adopting repo-native AI workflows or multi-repo setups.Votes: 0GitHub stars: 89
- Dev Context Multi RepoBuilds multi-repo context hubs and compiled markdown knowledge maps. Use when profiling repo portfolios or assembling LLM-ready cross-repo knowledge bases.Votes: 0GitHub stars: 89
- Dev Contribution Quality AnalysisScores team or opt-in individual contribution quality from commit and PR history. Use when building engineering scorecards or coaching; for AI impact use dev-ai-coding-metrics.Votes: 0GitHub stars: 89
- Dev Dependency ManagementGuides dependency audits and upgrades. Use when auditing dependencies, upgrading vulnerable packages, managing lockfiles or package managers, SBOMs, or update and monorepo policy.Votes: 0GitHub stars: 89
- Dev Git Commit MessageGenerates or validates Conventional Commits messages from staged diffs. Use when drafting commit messages, checking repo rules, or inferring scope from changed files.Votes: 0GitHub stars: 89
- Dev Git WorkflowDesigns team Git workflows for branching, PRs, and releases. Use when choosing branching models, stacked PRs, merge queues, worktree isolation for agents, or collaboration rules.Votes: 0GitHub stars: 89
- Dev Workflow PlanningWrites implementation plans before coding: phases, plan files, specs, definition of done. Use when planning a multi-step feature or breaking a large refactor into phases.Votes: 0GitHub stars: 89
- Docs Ai PrdWrites PRDs and specs optimized for coding assistants. Use when authoring requirements or project context for Claude Code, Cursor, Copilot, or Codex.Votes: 0GitHub stars: 89
- Docs CodebaseWrites and reorganizes docs-as-code for software repos. Use when updating READMEs, runbooks, onboarding docs, API references, or agent instruction files.Votes: 0GitHub stars: 89
- Docs Notes RetrievalBuilds local-first note vault retrieval for Obsidian, markdown notebooks, and NotebookLM-adjacent exports. Use when packaging notes into LLM-ready context.Votes: 0GitHub stars: 89
- Document DocxBuilds docxtpl templates, DOCX extraction for RAG, and EAA accessibility checks. Use when templating Word or extracting tables; plain edits and redlines: official docx skill.Votes: 0GitHub stars: 89
- Document PdfHandles PDF/UA accessibility, real redaction, metadata scrubbing, signing, and extraction. Use when redacting or signing PDFs; for plain create/merge prefer the official pdf skill.Votes: 0GitHub stars: 89