AI Ml AI agent skills

8,771 skills in the archive. Read a skill’s instructions or open its original repository.

• Firebase In App Messaging

  by @evanca

  Use when running in-app message campaigns, triggering/suppressing messages, configuring opt-in data collection, testing on specific devices, or handling message callbacks.

• Dart 3 Updates

  by @evanca

  Use when writing switch statements, refactoring if-else chains, creating data classes, choosing records vs classes, destructuring values, or modernizing pre-Dart-3 code.

• Architecture Feature First

  by @evanca

  Use when creating a feature, designing folder structure, adding repositories/services/view models, wiring dependency injection, or deciding which layer owns logic.

• Firebase Crashlytics

  by @evanca

  Use when implementing crash reporting, capturing fatal/non-fatal errors, recording isolate/async exceptions, customizing reports, or uploading obfuscated symbols.

• Mocktail

  by @evanca

  Use when creating mocks, stubbing methods, verifying interactions, registering fallback values, or choosing between mocks, fakes, and real objects (Mocktail).

• Firebase App Check

  by @evanca

  Use when implementing app attestation, configuring App Check providers, setting up debug tokens, enabling backend enforcement, or managing token refresh.

• Flutter Pre Caching

  by @evanca

  Use when preloading fonts, asset/network images, Lottie/Rive animations, local JSON/config, warming initial API data, or optimizing Flutter Web startup.

• Riverpod

  by @evanca

  Use when setting up providers, combining requests, managing state disposal, passing arguments, performing side effects, or testing providers (Riverpod).

• Testing

  by @evanca

  Use when writing or reviewing Flutter/Dart tests (unit, widget, golden), fixing flaky tests, adding coverage, or choosing between unit and widget tests.

• Mockito

  by @evanca

  Use when generating mocks, stubbing methods, verifying interactions, capturing arguments, or choosing between mocks, fakes, and real objects (Mockito).

• Firebase Remote Config

  by @evanca

  Use when implementing feature flags, running A/B tests, setting parameter defaults, fetching/activating config, or enabling real-time config updates.

• Flutter Errors

  by @evanca

  Use when hitting layout errors (RenderFlex overflow, unbounded constraints, RenderBox not laid out), scroll errors, or setState-during-build errors.

• Provider

  by @evanca

  Use when setting up providers, consuming state, optimizing rebuilds, using ProxyProvider, or migrating from deprecated providers (Provider package).

• Firebase Analytics

  by @evanca

  Use when logging analytics events, setting user properties, configuring default event parameters, building funnels, or adding screen-view tracking.

• Flutter Change Notifier

  by @evanca

  Use when setting up ChangeNotifier models, providing them to the widget tree, consuming state with Consumer or Provider.of, or optimizing rebuilds.

• Flutterfire Configure

  by @evanca

  Use when adding Firebase to a Flutter project, running flutterfire configure, initializing Firebase in main.dart, or configuring multiple flavors.

• Firebase Data Connect

  by @evanca

  Use when setting up Data Connect, writing GraphQL queries/mutations, configuring generated SDKs, handling offline, or applying security rules.

• Effective Dart

  by @evanca

  Use when writing Dart code, reviewing for style, refactoring naming, adding doc comments, structuring imports, or enforcing type annotations.

• Firebase Ai

  by @evanca

  Use when setting up firebase_ai, generating text/chat with Gemini, streaming AI output, building multimodal prompts, or handling AI errors.

• Firebase Auth

  by @evanca

  Use when setting up auth, managing auth state, implementing email/password or social sign-in, handling auth errors, or managing users.

• Firebase Storage

  by @evanca

  Use when setting up Storage, uploading/downloading files, managing metadata, handling errors, or applying security rules.

• Code Review

  by @JackyST0

  Smart code review skill that helps review code quality, identify potential issues, and provide improvement suggestions.

• Git Commit

  by @JackyST0

  Git commit message generator that creates conventional commit messages based on code changes.

• Light Consistency

  by @Light0305

  Light 跨材料一致性常驻机读门:在所有产出材料后台核查术语 / 指标(名+值)/ 创新点表述 / 方法名 在论文·PPT·软著·代码·项目文档之间是否统一,定义一改回扫所有已产出材料,把"各处说法对齐"从口头 建议落成**可机检、可阻断、可被总控 run_checkpoint 聚合的机读门**(产 light.findings.v1,术语/指标/ 创新点硬冲突 → Critical fail → exit…

• Tanstack

  by @pedronauck

  Implement React data, routes, or forms with TanStack. Covers Query, Router, and Form; excludes Start, DB, and unrelated state or routing libraries.

• To Prompt

  by @pedronauck

  Create a handoff brief for another LLM to implement. Preserve accepted decisions and write to docs/prompts/; excludes one-shot questions and end-user copy.

• Memory

  by @ovh

  Save, organize, and curate persistent memories (MEMORY.md index plus topic files) across sessions. Load before writing detailed notes, topic files, or when asked to remember context that should outlive this session.

• Repo Analysis

  by @ovh

  Analyze uncommitted changes in the repository, group them into logical commits, and determine the appropriate version bump

• Refactoring

  by @ovh

  Restructure existing code to improve readability, maintainability, and performance without changing behavior

• Code Review

  by @ovh

  Review code changes in the current git branch, identify bugs, style issues, and suggest improvements

• Release

  by @ovh

  Prepare and publish a new release of the SHAI project, including version bumps and tagging

• Debugging

  by @ovh

  Systematically diagnose and fix bugs using logs, stack traces, and targeted experiments

• Git Workflow

  by @ovh

  Manage git branches, commits, rebases, and pull requests following project conventions

• Testing

  by @ovh

  Write and run tests, ensure adequate test coverage, and fix failing tests

• Rust Lint

  by @ovh

  Check and fix Rust build warnings and clippy warnings across the project

• Bioprobench

  by @PKU-YuanGroup

  Score an LLM's biological-protocol reasoning on the BioProBench benchmark: protocol QA, step ordering, error detection, protocol generation, and LLM-judged error reasoning; or generate the responses.

• Bio Chipseq Chromatin State Segmentation

  by @PKU-YuanGroup

  Segments the genome into chromatin states from combinatorial histone modification and chromatin factor ChIP-seq data. Uses ChromHMM (multivariate HMM on binarized signal, v1.27), Segway (Dynamic Bayesian Network on continuous…

• Bio Atac Seq Deep Learning Atac

  by @PKU-YuanGroup

  Sequence-based deep learning for ATAC-seq using chromBPNet, BPNet, scBasset, or Enformer. Use when correcting Tn5 bias with neural networks beyond k-mer models, predicting per-base accessibility profiles, scoring in silico…

• Docs Update Or Create

  by @LedgerHQ

  Guidelines that must be followed when creating or updating docs in this repo. Applies to AGENTS.md, README.md, **/docs/**/*.md, skill and sub-agent files.

• Mnemon

  by @mnemon-dev

  Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.

• Compile Basic

  by @sno-ai

  Basic compiler conformance fixture.

• Intro Example

  by @sno-ai

  Minimal MDA source demonstrating relationship-graph footnotes and metadata.mda.* MDA-extended fields. Use as a reference fixture when learning the MDA source format.

• Node Tools

  by @sno-ai

  Run a TypeScript script via tsx to fetch an HTTP endpoint and stream the response. Use when you need a small Node.js helper for HTTP calls.

• Tandem Browser

  by @hydro13

  Use Tandem Browser's MCP server (local and remote agents) or HTTP API (local and remote agents) to inspect, browse, and interact with the user's shared browser safely. Prefer targeted tabs and sessions, use snapshot refs before…

• Nw At Completeness Check

  by @nWave-ai

  Canonical AT completeness gate — research-anchored 7-category taxonomy (C1-C7) + 15-item mechanical checklist. Paradigm-neutral. Drives acceptance-designer reviewer verdict deterministically.

• Nw Density Resolution Contract

  by @nWave-ai

  Shared density-resolution contract for wave skills. Canonical detail on the D12 cascade, density resolver call, ad-hoc override workflow, and DocumentationDensityEvent telemetry emission. Referenced from nw-discover / nw-discuss…

• Nw Ad Critique Dimensions

  by @nWave-ai

  Review dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton user-centricity, priority validation, observable behavior assertions,…

• Nw Design

  by @nWave-ai

  Designs system architecture with C4 diagrams and technology selection. Routes to the right architect based on design scope (system, domain, application, or full stack). Two interaction modes: guide (collaborative Q&A) or propose…

• Nw Deployment Strategies

  by @nWave-ai

  Rollback procedures, risk assessment, pre/post-deployment validation, and contingency planning. Load when orchestrating deployment or preparing rollback plans. For deployment strategy details (canary, blue-green, rolling), see…

• Nw Distill

  by @nWave-ai

  Acceptance test creation methodology for the DISTILL wave. Domain knowledge for the acceptance designer agent: port-to-port principle, prior wave reading, wave-decision reconciliation, graceful degradation, and document…

• Nw Execute

  by @nWave-ai

  Use when a DELIVER roadmap already exists and you need to dispatch exactly one identified step through its TDD cycle. Use nw-roadmap to create the plan, nw-deliver for the whole wave, and nw-continue to resume at the next…

• Nw Diverge

  by @nWave-ai

  Generates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence. Use when the team has a validated problem but hasn't chosen a solution…

• Nw Platform Engineering Foundations

  by @nWave-ai

  Foundational platform engineering knowledge from key references -- Continuous Delivery, SRE, Accelerate, Team Topologies, Chaos Engineering, and Secure Delivery. Load when contextual grounding in platform engineering theory is…

• Nw Infrastructure And Observability

  by @nWave-ai

  Infrastructure as Code patterns (Terraform, Kubernetes), observability design (SLOs, metrics, alerting, dashboards), and pipeline security stages. Load when designing infrastructure, observability, or security scanning.

• Nw Finalize

  by @nWave-ai

  Archives a completed feature to docs/evolution/, migrates lasting artifacts to permanent directories, and cleans up the temporary workspace. Use after all implementation steps pass and mutation testing completes.

• Nw Deliver Orchestration

  by @nWave-ai

  DELIVER wave orchestration workflow -- 9 phases from baseline to finalization. Load when user invokes *deliver command. Covers state tracking, smart skip logic, retry, resume, and quality gate enforcement.

• Nw Discuss

  by @nWave-ai

  Conducts Jobs-to-be-Done analysis, UX journey design, and requirements gathering through interactive discovery. Use when starting feature analysis, defining user stories, or creating acceptance criteria.

• Nw Outcome Kpi Framework

  by @nWave-ai

  Outcome KPI definition methodology - synthesizes Who Does What By How Much (Gothelf/Seiden), Running Lean (Maurya), and Measure What Matters (Doerr) into a practical framework for measurable outcome KPIs

• Nw Optimize Tests

  by @nWave-ai

  Minimizes test count while preserving coverage. Detects byte-identical pairs, parametrize-inflation, language-guarantee tests, AST-shape tests, stale migration nets. Approval gate before any change.

• Nw Formal Verification Tlaplus

  by @nWave-ai

  TLA+ and PlusCal for specifying distributed system invariants. Decision heuristics for when formal verification adds value, key patterns, state explosion management, and alternatives comparison.

• Nw Jtbd Interviews

  by @nWave-ai

  JTBD discovery techniques adapted for AI product owner context. Four Forces extraction, job dimension probing, question banks, and anti-patterns for interactive feature discovery conversations.

• Nw Diverger Review Criteria

  by @nWave-ai

  Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts

• Nw Forge

  by @nWave-ai

  Creates new specialized agents using the 5-phase workflow (ANALYZE > DESIGN > CREATE > VALIDATE > REFINE). Use when building a new AI agent or validating an existing agent specification.

• Nw Design Methodology

  by @nWave-ai

  Apple LeanUX++ design workflow, journey schema, emotional arc patterns, and CLI UX patterns. Load when transitioning from discovery to visualization or when designing journey artifacts.

• Nw Production Readiness

  by @nWave-ai

  Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence.

• Nw Brainstorming

  by @nWave-ai

  Structured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees. Enforces strict separation of generation and evaluation phases.

• Nw Persona Jtbd Analysis

  by @nWave-ai

  Structured persona creation and JTBD analysis methodology - persona templates, ODI job step tables, pain point mapping, success metric quantification, and multi-persona segmentation

• Nw Jtbd Analysis

  by @nWave-ai

  JTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoring

• Nw Architectural Styles Tradeoffs

  by @nWave-ai

  Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.

• Nw Po Review Dimensions

  by @nWave-ai

  Requirements quality critique dimensions for peer review - confirmation bias detection, completeness validation, clarity checks, testability assessment, and priority validation

• Nw Jtbd Workflow Selection

  by @nWave-ai

  JTBD workflow classification and routing - ODI two-phase framework, five job types with workflow sequences, baseline type selection, workflow anti-patterns, and common recipes

• Nw Par Critique Dimensions

  by @nWave-ai

  Platform design review critique dimensions and severity levels. Load when reviewing CI/CD pipelines, infrastructure, deployment strategies, observability, or security designs.

• Nw Jtbd Opportunity Scoring

  by @nWave-ai

  JTBD opportunity scoring and prioritization - outcome statement format, opportunity algorithm, scoring interpretation, feature prioritization, and opportunity matrix template

• Nw Jtbd Core

  by @nWave-ai

  Core JTBD theory and job story format - job dimensions, job story template, job stories vs user stories, 8-step universal job map, outcome statements, and forces of progress

• Nw Jtbd Bdd Integration

  by @nWave-ai

  Translating JTBD analysis to BDD scenarios - job story to Given-When-Then patterns, forces-based test discovery, job-map-based test discovery, and property-shaped criteria

• Nw Leanux Methodology

  by @nWave-ai

  LeanUX backlog management methodology - user story template, story sizing, story states, task types, Definition of Ready/Done, anti-pattern detection and remediation

• Nw Deliver

  by @nWave-ai

  Orchestrates the full DELIVER wave end-to-end (roadmap > execute-all > finalize). Use when all prior waves are complete and the feature is ready for implementation.

• Nw Bdd Methodology

  by @nWave-ai

  BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation

• Nw Bdd Requirements

  by @nWave-ai

  BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification

• Nw Ddd Eventsourcing

  by @nWave-ai

  Event Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolution

• Nw Data Architecture Patterns

  by @nWave-ai

  Data architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patterns

• Nw Ddd Event Modeling

  by @nWave-ai

  Event Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications

• Nw Domain Driven Design

  by @nWave-ai

  Strategic and tactical DDD patterns, bounded context discovery, context mapping, aggregate design rules, and decision frameworks for when to apply DDD

• Nw Diagram

  by @nWave-ai

  Generates C4 architecture diagrams (context, container, component) in Mermaid or PlantUML. Use when creating or updating architecture visualizations.

• Nw Document

  by @nWave-ai

  Creates evidence-based documentation following DIVIO/Diataxis principles. Use when writing tutorials, how-to guides, reference docs, or explanations.

• Nw Discover

  by @nWave-ai

  Conducts evidence-based product discovery through customer interviews and assumption testing. Use at project start to validate problem-solution fit.

• Nw Dor Validation

  by @nWave-ai

  Definition of Ready checklist criteria, antipattern detection patterns, UAT quality rules, and domain language enforcement for product owner review

• Nw Command Design Patterns

  by @nWave-ai

  Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence

• Nw Mutation Test

  by @nWave-ai

  Runs feature-scoped mutation testing to validate test suite quality. Use after implementation to verify tests catch real bugs (kill rate >= 80%).

• Nw Ddd Strategic

  by @nWave-ai

  Strategic DDD — bounded context discovery, context mapping patterns, subdomain classification, ubiquitous language, and organizational alignment

• Nw Buddy

  by @nWave-ai

  nWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.

• Nw Database Technology Selection

  by @nWave-ai

  Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics

• Nw Discovery Methodology

  by @nWave-ai

  Question-first approach to understanding user journeys. Load when starting a new journey design or when the discovery phase needs deepening.

• Nw Mikado Method

  by @nWave-ai

  Enhanced Mikado Method for complex architectural refactoring - systematic dependency discovery, tree-based planning, and bottom-up execution

• Nw Ddd Tactical

  by @nWave-ai

  Tactical DDD — aggregate design rules, entities, value objects, domain events, repositories, domain services, and anti-pattern detection

• Nw Hexagonal Testing

  by @nWave-ai

  5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples

• Nw Buddy Command Catalog

  by @nWave-ai

  All /nw-* commands — what they do, when to use them, which agent they invoke. For the buddy agent to help users pick the right command.

• Nw Devops

  by @nWave-ai

  Designs CI/CD pipelines, infrastructure, observability, and deployment strategy. Use when preparing platform readiness for a feature.

• Nw Agent Testing

  by @nWave-ai

  5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance

• Nw Dr Review Criteria

  by @nWave-ai

  Critique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews