Software Development AI agent skills

13,359 skills in the archive. Read a skill’s instructions or open its original repository.

• Microsoft Code Reference

  by @MicrosoftDocs

  Find working code samples, verify API signatures, and fix Microsoft SDK errors using official docs. Use whenever the user is writing, debugging, or reviewing code that touches any Microsoft SDK, .NET library, Azure client…

• Microsoft Docs

  by @MicrosoftDocs

  Understand Microsoft technologies by querying official documentation. Use whenever the user asks how something works, wants tutorials, needs configuration options, limits, quotas, or best practices for any Microsoft technology…

• Microsoft Learn Cli

  by @MicrosoftDocs

  Use the Microsoft Learn CLI to retrieve current official Microsoft documentation and code samples when Microsoft Learn MCP tools are unavailable. Use for questions about Microsoft technologies, SDKs, APIs, configuration, limits,…

• Hotpath Cloud

  by @pawurb

  Read hotpath Cloud performance verdicts with the `hotpath cloud` CLI and fix Rust performance regressions. Fetches the benchmark report of a commit or pull request, compares it with its baseline under the repository's regression…

• Hotpath Init Ci

  by @pawurb

  Set up the hotpath Cloud CI integration in a Rust project whose pull requests come from branches of the same repository (private repositories, or public ones that do not benchmark fork pull requests). Adds the hotpath-cloud…

• Hotpath Init Ci Forks

  by @pawurb

  Set up the hotpath Cloud CI integration in a public Rust project that benchmarks pull requests from forks. Adds the hotpath-cloud feature, a regression policy file, a GitHub Actions benchmark workflow that writes hotpath reports…

• Pi Agent Rust

  by @Dicklesworthstone

  Speeds up pi_agent_rust development and verification workflows. Use when editing providers, tools, sessions, extensions, installer/uninstaller logic, or triaging regressions in this repo.

• Vector Index Tuning

  by @Dicklesworthstone

  Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.

• Web To App Funnel

  by @Eronred

  When the user wants to design or optimize the funnel that takes web visitors into installing and onboarding the app — including smart app banners, web-to-app deep links, deferred deep links, web onboarding (Stripe-paid web flow…

• Attribution Setup

  by @Eronred

  When the user wants to set up, debug, or interpret app install attribution — including SKAdNetwork (SKAN), Apple's AdAttributionKit, Google Play Install Referrer, MMPs (AppsFlyer, Adjust, Singular, Branch, Kochava), deep links,…

• App Rejection Recovery

  by @Eronred

  When the user's app or update was rejected by Apple App Review or Google Play Review and they need to diagnose why, fix it, and resubmit fast. Use when the user mentions "app rejected", "App Review rejection", "guideline…

• Rating Prompt Strategy

  by @Eronred

  When the user wants to improve their app's star rating, increase ratings volume, optimize when and how they prompt users for a review, or recover from a bad rating period. Use when the user mentions "app rating", "star rating",…

• Android Aso

  by @Eronred

  When the user wants to optimize their Google Play Store listing — title, short description, full description, keywords, ratings, or Play Store-specific features. Use when the user mentions "Google Play", "Android", "Play Store",…

• Screenshot Optimization

  by @Eronred

  When the user wants to design, optimize, or evaluate App Store screenshots and preview videos. Also use when the user mentions "screenshots", "app preview", "product page design", "screenshot design", "creative assets", or "what…

• Update

  by @nimbalyst

  Write and maintain project wiki pages, decisions, and links.

• Connect

  by @nimbalyst

  Choose which wiki this session uses, the team project's pages on the Nimbalyst server or the project's local wiki of files, and connect a repository to its team project. Use at the start of a task before any wiki tool, when a…

• Feedback Intake

  by @nimbalyst

  Help the user file a bug report or feature request for Nimbalyst. Activates when the user opens the in-app feedback flow or runs /feedback:bug-report or /feedback:feature-request. Coordinates evidence gathering, anonymization,…

• Git Commit

  by @nimbalyst

  Create git commits using Nimbalyst's interactive commit proposal widget. ONLY use when the user explicitly clicks "Commit with AI" button or asks for "smart commit". For regular commit requests, use standard git commands instead.

• Vss Evaluate Caption Accuracy

  by @NVIDIA-AI-Blueprints

  Measure whether an RT-VLM configuration change altered caption quality — capture paired baseline and candidate captions for a set of videos, score both against a ground truth with an LLM judge, and emit an accuracy and…

• Vss Generate Video Report Rag

  by @NVIDIA-AI-Blueprints

  Generates VSS video summary reports with LVS HITL and optional Enterprise RAG document grounding. Trigger when the user asks for a frag/RAG-assisted video report, knowledge-enhanced analysis, or Enterprise RAG context in a video…

• Cli Anything Photoshop

  by @yb2460

  通过 COM 自动化操控 Adobe Photoshop 的 CLI harness。支持项目管理、图层操作、选区控制、文字编辑、图像调整和多格式导出。

• Stripe Apps

  by @stripe

  Use when building, modifying, or reviewing a Stripe App — or when the user describes something that implies one (e.g. "add a panel to the customer page", "customize my Stripe Dashboard", "react to Stripe events from my app",…

• Connect Recommend

  by @stripe

  Use this skill when the user asks about Stripe Connect configuration, charge patterns, Dashboard access, or how to get started with Connect, is building a marketplace, platform, multi-vendor store, gig platform, or subscription…

• Stripe Best Practices

  by @stripe

  Guides Stripe integration decisions across development and test environment planning (separate sandboxes vs the shared test mode sandbox), API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2,…

• Upgrade Stripe

  by @stripe

  Guide for upgrading Stripe API versions, webhook endpoints, server-side SDKs, Stripe.js, and mobile SDKs

• A16z Techno Optimist

  by @questflowai

  Use when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold long-duration tech bets.

• Muddy Waters Forensic

  by @questflowai

  Use when evaluating Muddy Waters-style forensic short research: fraud, channel checks, related-party structures, cash verification, governance failure, and evidence-based short theses.

• Talk Normal

  by @hexiecs

  Stop LLM slop. A curated system prompt that cuts verbose, corporate-sounding LLM output by 56-73% (measured) while preserving information. Works bilingually (English + Chinese). Installs into your AGENTS.md as an always-on…

• Postgres Hybrid Text Search

  by @timescale

  Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). **Trigger when user asks to:** - Combine keyword and semantic search - Implement hybrid…

• Design Postgis Tables

  by @timescale

  Comprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applications

• Retrospect External Babysitter Run

  by @a5c-ai

  For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions,…

• Catalog Babysitter Users

  by @a5c-ai

  Discover public GitHub repositories that import defineTask from @a5c-ai/babysitter-sdk and maintain a deduplicated catalog of those repositories in docs/repo-with-babysitter-processes.md. Excludes any repo named "babysitter" (to…

• Gsd Tools

  by @a5c-ai

  Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs…

• Fix Failing Pipelines

  by @a5c-ai

  This skill should be used when the user asks to "fix pipelines", "fix CI", "check staging pipelines", "fix failing workflows", "fix failing actions", or wants to find and fix failing GitHub Actions workflows on the staging…

• Babysit Babysitter Issues

  by @a5c-ai

  This skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues", "process babysitter issues", or wants to find and work on open GitHub issues assigned to a5c-agent in the…

• Verification Suite

  by @a5c-ai

  Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

• Model Profile Resolution

  by @a5c-ai

  Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

• Frontmatter Parsing

  by @a5c-ai

  YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

• Codebase Sync

  by @a5c-ai

  Convention discovery and rule generation from codebase analysis. Scans project structure, builds search indexes, identifies patterns, and generates enforceable rules.

• Process Builder

  by @a5c-ai

  Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.

• Orchestrated Execution

  by @a5c-ai

  Execute work units through the rigorous 4-phase Metaswarm cycle (Implement -> Validate -> Adversarial Review -> Commit) with independent quality gate enforcement.

• Work Unit Decomposition

  by @a5c-ai

  Decompose implementation plans into discrete work units with enumerated DoD items, file scope declarations, dependency mapping, and human checkpoint flags.

• Knowledge Curation

  by @a5c-ai

  Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.

• Adversarial Review

  by @a5c-ai

  Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.

• Maintenance Orchestration

  by @a5c-ai

  Technical debt management including branch cleanup, doc verification, TODO scanning, and dependency auditing

• Knowledge Graph Management

  by @a5c-ai

  Capture, validate, query, and sync architectural patterns and design decisions in the knowledge graph

• Code Review Gate

  by @a5c-ai

  Architect code review with DRY, YAGNI, abstraction, and test coverage principle enforcement

• Specification Generation

  by @a5c-ai

  Convert requirements into structured technical specifications with architecture decisions

• Rl Post Training

  by @benchflow-ai

  Diagnostic guide for RL-based post-training of language models (GRPO, PPO, REINFORCE, DPO). Use proactively when debugging a training pipeline that shows no improvement, loss anomalies, reward stagnation, NaN gradients, or other…

• Grpo

  by @benchflow-ai

  Reference for the GRPO (Group Relative Policy Optimization) algorithm. Use when implementing, debugging, or verifying a GRPO training pipeline — covers the mathematical formulation (group-relative advantages, clipped surrogate…

• Trl

  by @benchflow-ai

  Reference for the TRL (Transformer Reinforcement Learning) library codebase. Use proactively before reading or editing any file under `trl/` so you have the intended contracts and invariants in mind, not just what the current…

• Ac Branch Pi Model

  by @benchflow-ai

  AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching `acopf-math-model.md` and MATPOWER branch fields. Use when computing branch flows in either direction, aggregating bus…

• Dc Power Flow

  by @benchflow-ai

  DC power flow analysis for power systems. Use when computing power flows using DC approximation, building susceptance matrices, calculating line flows and loading percentages, or performing sensitivity analysis on transmission…

• Economic Dispatch

  by @benchflow-ai

  Generator economic dispatch and cost optimization for power systems. Use when minimizing generation costs, computing optimal generator setpoints, calculating operating margins, or working with generator cost functions.

• Dialogue Graph

  by @benchflow-ai

  A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.

• Seisbench Model Api

  by @benchflow-ai

  An overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data. It is useful for annotating waveforms using pretrained SOTA ML models, for tasks like…

• Gamma Phase Associator

  by @benchflow-ai

  An overview of the python package for running the GaMMA earthquake phase association algorithm. The algorithm expects phase picks data and station data as input and produces (through unsupervised clustering) earthquake events…

• Flight Plan Parser

  by @benchflow-ai

  Use this skill when converting natural language flight commands into waypoints and timing for a drone simulator. Covers parsing commands like "Take off to X m height in Y seconds", "Hover at X m height for Y seconds", "Fly from…

• Casadi Ipopt Nlp

  by @benchflow-ai

  Nonlinear optimization with CasADi and IPOPT solver. Use when building and solving NLP problems: defining symbolic variables, adding nonlinear constraints, setting solver options, handling multiple initializations, and…

• Unit Commitment Data Modeling

  by @benchflow-ai

  Use for parsing structured unit commitment input data from JSON, CSV, benchmark cases, spreadsheets, databases, or nested tables; finding fields for time periods, resources, load, reserve, generator limits, initial conditions,…

• Stepinfo 3d

  by @benchflow-ai

  Use this skill when computing 3D step-response performance metrics for point-to-point drone flight — rise time, settling time, percent overshoot, and steady-state error based on Euclidean distance to the final target. Use…

• Obspy Data Api

  by @benchflow-ai

  An overview of the core data API of ObsPy, a Python framework for processing seismological data. It is useful for parsing common seismological file formats, or manipulating custom data into standard objects for downstream use…

• Milp Solver Workflow

  by @benchflow-ai

  Use for formulating, solving, debugging, and validating mixed-integer linear optimization models with open-source solvers, including variable indexing, sparse constraints, linearized costs, solver limits, MIP gaps, incumbent…

• Attitude Controller Planner

  by @benchflow-ai

  Use this skill when implementing the inner control loop for a quadrotor — attitude (roll/pitch/yaw) PID control and attitude planning (converting desired acceleration to desired Euler angles). Covers gain layout, integral reset…

• Motor Model Dynamics

  by @benchflow-ai

  Use this skill when simulating quadrotor physical dynamics — mapping desired thrust/moments to individual motor RPMs via a propeller allocation matrix, applying first-order motor lag, and integrating the nonlinear equations of…

• Position Controller Trajectory Planner

  by @benchflow-ai

  Use this skill when implementing the outer control loop for a quadrotor — position PID control (position/velocity error → thrust and desired acceleration) and trajectory planning from flight-plan waypoints (takeoff, hover, fly,…

• Locational Marginal Prices

  by @benchflow-ai

  Extract locational marginal prices (LMPs) from DC-OPF solutions using dual values. Use when computing nodal electricity prices, reserve clearing prices, or performing price impact analysis.

• Sampling And Indexing

  by @benchflow-ai

  Standardize video sampling and frame indexing so interval instructions and mask frames stay aligned with a valid key/index scheme.

• Threat Detection

  by @benchflow-ai

  Exact detection thresholds for identifying malicious network patterns including port scans, DoS attacks, and beaconing behavior.

• Power Flow Data

  by @benchflow-ai

  Power system network data formats and topology. Use when parsing bus, generator, and branch data for power flow analysis.

• Dyn Object Masks

  by @benchflow-ai

  Generate dynamic-object binary masks after global motion compensation, output CSR sparse format.

• Output Validation

  by @benchflow-ai

  Local self-check of instructions and mask outputs (format/range/consistency) without using GT.

• Egomotion Estimation

  by @benchflow-ai

  Estimate camera motion with optical flow + affine/homography, allow multi-label per frame.

• Pdf Editing

  by @benchflow-ai

  Complete guide for reading and editing PDF documents with PyMuPDF.

• Twitter

  by @ReScienceLab

  Search and retrieve content from Twitter/X. Get user info, tweets, replies, followers, communities, spaces, and trends via twitterapi.io. Use when user mentions Twitter, X, or tweets.

• Producthunt

  by @ReScienceLab

  Search and retrieve content from Product Hunt. Get posts, topics, users, and collections via the GraphQL API. Use when user mentions Product Hunt, PH, or product launches.

• Reddit

  by @ReScienceLab

  Search and retrieve content from Reddit. Get posts, comments, subreddit info, and user profiles via the public JSON API. Use when user mentions Reddit, a subreddit, or r/ links.

• Archive

  by @ReScienceLab

  Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user…

• Domain Hunter

  by @ReScienceLab

  Search domains, compare prices, find promo codes, get purchase recommendations. Use when user wants to buy a domain, check domain prices, find domain deals, compare registrars, or search for .ai/.com domains.

• Skill Name

  by @ReScienceLab

  Clear description of what this skill does and when to use it. Include trigger keywords and contexts inline, e.g. "Use when user wants to X, Y, or Z."

• Open Websearch Maintainer

  by @Aas-ee

  Maintain and extend the open-websearch MCP server. Trigger when changing search engines, proxy or TLS behavior, tool registration, live parsing behavior, or compatibility and regression behavior inside this repository.

• Config

  by @kubb-labs

  How to author a kubb.config.ts and pick the right @kubb/plugin-* packages when generating TypeScript from an OpenAPI/Swagger spec. Use whenever setting up Kubb, adding a generator, or debugging codegen output.

• Python Math

  by @trpc-group

  Small Python utilities for math and text files.

• Coding Agent

  by @trpc-group

  Delegate coding tasks to Codex, Claude Code, or Pi agents via background host sessions. Use when: (1) building or creating new features or apps, (2) reviewing PRs or parallel coding with managed worktree isolation when subagents…

• Mcporter

  by @trpc-group

  Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, CLI/type generation, and MCP-backed skills that need a durable command path.

• Quality Loop

  by @trpc-group

  Use this workflow recipe when a draft, plan, proposal, or other deliverable should be independently reviewed and revised until it satisfies explicit quality criteria.

• Control

  by @Core-Mate

  Control an authorized local Android phone or show its real-time read-only video beside the current local Codex task on macOS. Use for phone app tasks and Android UI checks.

• Open Gui Remote Control

  by @Core-Mate

  Control an Android phone through OpenGUI from an AI coding agent such as Claude Code, Codex, or OpenCode. Use when an agent should list online devices, run a natural-language mobile task, check execution status, pause, resume,…

• Opengui

  by @Core-Mate

  Autonomously complete user-authorized Android phone tasks using real screenshots, one action at a time, with default persistent local mirroring and verified results.

• Opengui Plugin Install

  by @Core-Mate

  Install or upgrade the standalone OpenGUI Codex or WorkBuddy plugin on macOS from verified prebuilt GitHub releases. Use for plugin installation, not phone actions or DSH installation.

• Spec Execution

  by @a5c-ai

  6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.

• Code Review Patterns

  by @a5c-ai

  Multi-dimensional code assessment across security, quality, performance, and maintainability with confidence-gated reporting (>=80%) and Router Contract generation.

• Verification Before Completion

  by @a5c-ai

  Evidence requirement enforcement ensuring all claims are backed by logs, test results, or exit codes. Zero = success, non-zero = failure. No guessing allowed.

• Code Generation

  by @a5c-ai

  Minimal, pattern-matching code output. Write the least code that satisfies requirements. Match existing project patterns. Use Write/Edit tools only.

• Codebase Mapping

  by @a5c-ai

  Automatic codebase indexing for invisible context injection. Catalogs project structure, file types, entry points, dependencies, and test layout.

• Test Driven Development

  by @a5c-ai

  Strict RED-GREEN-REFACTOR cycle enforcement. Tests are never skipped or deferred. Run mode only, never watch mode. Exit code evidence mandatory.

• Hook Management

  by @a5c-ai

  Session-scoped hook lifecycle management with enable/disable/status controls, execution profiling, and color-coded performance alerts.

• Tdd Enforcement

  by @a5c-ai

  Red-Green-Refactor TDD methodology with mandatory failing tests, minimal implementation, quality refactoring, and 80% coverage gating.

• Context Engineering

  by @a5c-ai

  Dynamic context injection, mode switching (dev/review/research), selective loading, and strategic compaction for token optimization.

• Continuous Learning

  by @a5c-ai

  Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.