All authors
Claude Skills by aicodedecode
github.com/aicodedecode1,363 skills83 installs820 views
- Planning With Files AitmplTransforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.Votes: 0GitHub stars: 2
- Planning With FilesImplements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.Votes: 0GitHub stars: 2
- PlaywrightUse when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script.Votes: 0GitHub stars: 2
- Post Training Grpo Rl TrainingExpert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model trainingVotes: 0GitHub stars: 2
- Post Training MilesProvides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing train-inference alignment, or requiring speculative RL for maximum throughput.Votes: 0GitHub stars: 2
- Post Training OpenrlhfHigh-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.Votes: 0GitHub stars: 2
- Post Training SimpoSimple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.Votes: 0GitHub stars: 2
- Post Training SlimeProvides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.Votes: 0GitHub stars: 2
- Post Training TorchforgeProvides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions, easy algorithm experimentation, or scalable training with Monarch and TorchTitan.Votes: 0GitHub stars: 2
- Post Training Trl Fine TuningFine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.Votes: 0GitHub stars: 2
- Post Training VerlProvides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.Votes: 0GitHub stars: 2
- Postgres Best PracticesPostgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.Votes: 0GitHub stars: 2
- Postmortem/em:postmortem — Honest analysis of what went wrong. Use after a failedVotes: 0GitHub stars: 2
- Pptx PostersCreate professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.Votes: 0GitHub stars: 2
- Prd Builder'Gated PRD generation — interrogates problem, user, and metric beforeVotes: 0GitHub stars: 2
- Product ManagerShips outcomes, not features. Writes specs engineers actually read. PrioritizesVotes: 0GitHub stars: 2
- ProjectsList, switch, and configure Railway projects. Use when user wants to list all projects, switch projects, rename a project, enable/disable PR deploys, make a project public/private, or modify project settings.Votes: 0GitHub stars: 2
- Prompt Engineering DspyBuild complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programmingVotes: 0GitHub stars: 2
- Prompt Engineering GuidanceControl LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation frameworkVotes: 0GitHub stars: 2
- Prompt Engineering InstructorExtract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output libraryVotes: 0GitHub stars: 2
- Prompt Engineering OutlinesGuarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation libraryVotes: 0GitHub stars: 2
- Prototype UxuiMove an idea up the fidelity ladder (content-first → wireframe → low-fi → high-fi → code) with a validation plan at each level, plus user-journey mapping and usability-testing scripts. Use when the user wants to prototype, wireframe, map a user flow, or plan/run usability testing.Votes: 0GitHub stars: 2
- Pulse'Multi-source recency research skill that takes the pulse of any topicVotes: 0GitHub stars: 2
- PymcBayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.Votes: 0GitHub stars: 2
- Rag ChromaOpen-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.Votes: 0GitHub stars: 2
- Rag FaissFacebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.Votes: 0GitHub stars: 2
- Rag PineconeManaged vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.Votes: 0GitHub stars: 2
- Rag QdrantHigh-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.Votes: 0GitHub stars: 2
- Rag Sentence TransformersFramework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.Votes: 0GitHub stars: 2
- ReachHostinger Reach (Email Marketing) API for contact management, segmentation, contact groups, and profile management. Use when creating or listing contacts, managing contact segments or groups, filtering contacts by subscription status, or working with email marketing profiles.Votes: 0GitHub stars: 2
- Red Team ToolsThis skill should be used when the user asks to "follow red team methodology", "perform bug bounty hunting", "automate reconnaissance", "hunt for XSS vulnerabilities", "enumerate subdomains", or needs security researcher techniques and tool configurations from top bug bounty hunters.Votes: 0GitHub stars: 2
- Reflect'Mid-conversation reflection skill that pauses execution and zooms outVotes: 0GitHub stars: 2
- RoastUse when someone asks to roast an idea, pressure-test or stress-testVotes: 0GitHub stars: 2
- Roblox Avatar CreatorRoblox UGC and avatar pipeline specialist - Masters Roblox's avatar system, UGC item creation, accessory rigging, texture standards, and the Creator Marketplace submission pipelineVotes: 0GitHub stars: 2
- Roblox Experience DesignerRoblox platform UX and monetization specialist - Masters engagement loop design, DataStore-driven progression, Roblox monetization systems (Passes, Developer Products, UGC), and player retention for Roblox experiencesVotes: 0GitHub stars: 2
- Roblox Systems ScripterRoblox platform engineering specialist - Masters Luau, the client-server security model, RemoteEvents/RemoteFunctions, DataStore, and module architecture for scalable Roblox experiencesVotes: 0GitHub stars: 2
- Safety Alignment Constitutional AiAnthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety alignment, reducing harmful outputs without human labels. Powers Claude's safety system.Votes: 0GitHub stars: 2
- Safety Alignment LlamaguardMeta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, HuggingFace, Sagemaker. Integrates with NeMo Guardrails.Votes: 0GitHub stars: 2
- Safety Alignment Nemo GuardrailsNVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.Votes: 0GitHub stars: 2
- Scanning ToolsThis skill should be used when the user asks to "perform vulnerability scanning", "scan networks for open ports", "assess web application security", "scan wireless networks", "detect malware", "check cloud security", or "evaluate system compliance". It provides comprehensive guidance on security scanning tools and methodologies.Votes: 0GitHub stars: 2
- Scene DetectionScene detection craft: PySceneDetect detector selection, threshold tuning, hard cuts vs fades.Votes: 0GitHub stars: 2
- Screen RecordingScreen recording craft for tutorials: resolution strategy, cursor treatment, zoom transitions, speed ramps, dead-air removal.Votes: 0GitHub stars: 2
- ScreenshotUse when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.Votes: 0GitHub stars: 2
- Security Best PracticesPerform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.Votes: 0GitHub stars: 2
- Security Ownership MapAnalyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists o...Votes: 0GitHub stars: 2
- Security Pen TestingUse when the user asks to perform security audits, penetration testing,Votes: 0GitHub stars: 2
- Security Threat ModelRepository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Trigger only when the user explicitly asks to threat model a codebase or path, enumerate threats/abuse paths, or perform AppSec threat modeling. Do not trigger for general architecture summaries, code review, or non-security design work.Votes: 0GitHub stars: 2
- Seedance Video PromptingSeedance video prompting guide: multi-shot generation, camera direction, lip-sync from dialogue.Votes: 0GitHub stars: 2
- Self EvalHonestly evaluate AI work quality using a two-axis scoring system. UseVotes: 0GitHub stars: 2
- Semantic Gap AnalysisUse when a page ranks for a keyword but isn't in the top 3 and you want to know exactly what's missing. The agent compares the page to the top-ranking competitors and produces a specific list of entities, subtopics, and relationships to add.Votes: 0GitHub stars: 2