ReddRadar
Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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doc-to-vector-dataset-generator
Converts documents into clean, chunked datasets suitable for embeddings and vector search. Produces chunked JSONL files with metadata, deduplication logic, and quality checks. Use when preparing "training data", "vector datasets", "document processing", or "embedding data".
patricio0312rev/skills 23
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guardrails-safety-filter-builder
Implements content safety filters with PII redaction, policy constraints, prompt injection detection, and safe refusal templates. Use when adding "content moderation", "safety filters", "PII protection", or "guardrails".
patricio0312rev/skills 23
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evaluation-harness
Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports. Use for "LLM evaluation", "testing AI systems", "quality assurance", or "model benchmarking".
patricio0312rev/skills 23
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prompt-regression-tester
Compares old vs new prompts across test cases with diff summaries, stability metrics, breakage analysis, and fix suggestions. Use for "prompt testing", "A/B testing prompts", "prompt versioning", or "quality regression".
patricio0312rev/skills 23
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langchain-workflow-builder
Builds LLM applications with LangChain including chains, agents, memory, tools, and RAG pipelines. Use when users request "LangChain setup", "LLM chain", "AI workflow", "conversational AI", or "RAG pipeline".
patricio0312rev/skills 23
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vector-db-setup
Sets up vector databases for semantic search including Pinecone, Chroma, pgvector, and Qdrant with embedding generation and similarity search. Use when users request "vector database", "semantic search", "embeddings storage", "Pinecone setup", or "similarity search".
patricio0312rev/skills 23
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cost-latency-optimizer
Reduces LLM costs and improves response times through caching, model selection, batching, and prompt optimization. Provides cost breakdowns, latency hotspots, and configuration recommendations. Use for "cost reduction", "performance optimization", "latency improvement", or "efficiency".
patricio0312rev/skills 23
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llm-debugger
Diagnoses LLM output failures including hallucinations, constraint violations, format errors, and reasoning issues. Provides root cause classification, prompt fixes, tool improvements, and new test cases. Use for "debugging AI", "fixing prompts", "quality issues", or "output errors".
patricio0312rev/skills 23
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rag-pipeline-builder
Designs retrieval-augmented generation pipelines for document-based AI assistants. Includes chunking strategies, metadata schemas, retrieval algorithms, reranking, and evaluation plans. Use when building "RAG systems", "document search", "semantic search", or "knowledge bases".
patricio0312rev/skills 23
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tool-function-schema-designer
Designs robust function/tool calling schemas for LLMs with JSON schemas, validation strategies, typed interfaces, and example calls. Use when implementing "function calling", "tool use", "LLM tools", or "agent actions".
patricio0312rev/skills 23
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graphite-workflow
Use this skill when working with Graphite (gt) for stacked PRs, using execute-issue-graphite agent, or when the user mentions Graphite, stacking, or gt commands. Ensures proper use of gt commands instead of raw git for stack-aware operations.
jclfocused/claude-agents 2
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vertical-slice-planning
Use this skill when discussing feature breakdown, PR structure, implementation ordering, or how to decompose work. Guides thinking about vertical slices (end-to-end functionality) rather than horizontal layers (all of one layer first). Triggers on "how should we break this down?", "what order should we implement?", "how many PRs?", or decomposition discussions.
jclfocused/claude-agents 2
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issue-writing
Use this skill when writing, reviewing, or discussing issue descriptions, acceptance criteria, or task breakdowns. Ensures consistent, high-quality issue structure that any developer or AI can pick up and execute. Triggers when drafting issues, defining requirements, or when users ask "how should I write this issue?" or "what should the acceptance criteria be?"
jclfocused/claude-agents 2
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mvp-scoping
Use this skill when discussing features, planning work, or when users describe what they want to build. Guides MVP thinking - focusing on "what's the minimum to make this work?" rather than comprehensive solutions. Triggers on phrases like "help me think through this feature", "what should we build first?", "how should we scope this?", or any feature planning discussion.
jclfocused/claude-agents 2
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atomic-design-planning
Use this skill when discussing UI components, design systems, frontend implementation, or component architecture. Guides thinking about Atomic Design methodology - atoms, molecules, organisms - and promotes component reuse over creation. Triggers on UI/frontend discussions, "what components do we need?", "should I create a new component?", or design system questions.
jclfocused/claude-agents 2
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linear-discipline
Use this skill when discussing code changes, implementation work, feature status, or when starting/completing development tasks. Reminds about Linear issue tracking discipline - always having an issue in progress before writing code, marking work as done, and creating issues for unexpected scope. Triggers when users mention implementing features, writing code, or checking on work status.
jclfocused/claude-agents 2
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example-skill
Example skill - Claude will autonomously use this based on the description. Describe what this skill does and when to use it.
jclfocused/claude-agents 2
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supabase-seeding
Guides proper Supabase database seeding patterns. Use when creating seed files, seeding data, populating databases, or setting up test data in Supabase projects. Covers local and production seeding best practices.
jclfocused/claude-agents 2
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curl-api
Make HTTP API requests with curl. Use when calling REST APIs, making HTTP requests, testing endpoints, or working with web services via curl.
jclfocused/claude-agents 2
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map-code
jclfocused/claude-agents 2
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linear-plan-mode
Maintains feature plans in Linear during Claude Code plan mode. The orchestrator creates and updates Linear issues directly using MCP tools. Use when in plan mode, planning features, or creating implementation plans that should be tracked in Linear.
jclfocused/claude-agents 2
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setup-meta-repo
Set up or update a meta-repo workspace containing multiple sub-repos. Creates CLAUDE.md files, .mcp.json, .claude/settings.local.json, and initializes git. Use when the user asks to "set up a meta repo", "init workspace", "setup workspace", "create workspace config", "set up meta-repo", or references setting up a multi-repo workspace.
jclfocused/claude-agents 2
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create-start-work
Scaffold a project-specific start-work skill. This is the global blueprint — use it to create .claude/skills/start-work/SKILL.md in a project.
jclfocused/claude-agents 2
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create-agent
Create a new Claude Code custom agent (subagent). Use when the user asks to "create an agent", "make an agent", "new agent", "build an agent", "create a subagent", "/create-agent", or says something like "create an agent for that" referencing something in the conversation.
jclfocused/claude-agents 2