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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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write-agents-md

Use this skill when the user asks to "write AGENTS.md", "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.

sontek
sontek
11

review-code

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sontek
sontek
11

debug

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sontek
sontek
11

ailss-prometheus-agent

Obsidian vault notes (AILSS): search/summarize/edit (frontmatter, tags/keywords, typed links/backlinks, broken links; retrieval-first MCP; gated writes)

maehwasoo
maehwasoo
12

KOReader Plugin Development

This skill should be used when the user asks to "create a koreader plugin", "add a menu item", "create a widget", "save settings", "koreader ui", "lua widget", "koreader api", "dispatcher action", or is working on KOReader e-reader plugin development. Provides comprehensive guidance for KOReader's Lua plugin architecture.

uttam-salamander
uttam-salamander
1

diagnostic-meta-analysis

Teach meta-analysis of diagnostic test accuracy studies including sensitivity, specificity, SROC curves, and bivariate models. Use when users need to synthesize diagnostic accuracy data, understand SROC curves, or assess quality with QUADAS-2.

meta-agent
meta-agent
1

bayesian-meta-analysis

Teach Bayesian approaches to meta-analysis including prior specification, MCMC methods, and interpretation of posterior distributions. Use when users want to incorporate prior knowledge, need probabilistic interpretations, or are working with sparse data.

meta-agent
meta-agent
1

forest-plot-creation

Generate and interpret forest plots for meta-analysis visualization using R and the metafor package. Use when users need to create forest plots, understand visual representation of pooled effects, or interpret study weights and confidence intervals.

meta-agent
meta-agent
1

data-extraction

Extract and prepare study data for meta-analysis including effect size calculation, variance estimation, and handling missing data. Use when users need to convert reported statistics into analyzable format or calculate effect sizes from raw data.

meta-agent
meta-agent
1

socratic-teaching

Apply Socratic teaching methodology to guide users through meta-analysis concepts using questions, scaffolding, and discovery-based learning. Use when teaching meta-analysis to students or researchers who want to deeply understand the methodology.

meta-agent
meta-agent
1

trial-sequential-analysis

Teach Trial Sequential Analysis (TSA) for controlling type I and II errors in cumulative meta-analyses. Use when users need to assess if meta-analysis has sufficient information, want to avoid premature conclusions, or need to plan future trials.

meta-agent
meta-agent
1

r-code-generation

Generate R code for meta-analysis using the metafor package, including data preparation, model fitting, visualization, and sensitivity analyses. Use when users need executable R code for their meta-analysis workflow.

meta-agent
meta-agent
1

grade-assessment

Apply the GRADE framework to assess certainty of evidence in systematic reviews. Use when users need to rate evidence quality, create Summary of Findings tables, or understand the factors that affect confidence in effect estimates.

meta-agent
meta-agent
1

network-meta-analysis

Teach network meta-analysis (NMA) for comparing multiple treatments simultaneously. Use when users need to compare more than two interventions, understand indirect comparisons, or create network plots and league tables.

meta-agent
meta-agent
1

publication-bias-detection

Detect and assess publication bias in meta-analysis using funnel plots, Egger's test, trim-and-fill, and selection models. Use when users need to evaluate whether missing studies might affect their conclusions.

meta-agent
meta-agent
1

ipd-meta-analysis

Teach Individual Patient Data (IPD) meta-analysis methods for analyzing raw participant-level data from multiple studies. Use when users have access to original datasets, need to explore treatment-effect modifiers, or want to conduct time-to-event analyses.

meta-agent
meta-agent
1

heterogeneity-analysis

Assess and interpret between-study heterogeneity in meta-analysis using I², Q statistic, tau², and prediction intervals. Use when users need to evaluate consistency across studies, understand sources of variation, or decide if pooling is appropriate.

meta-agent
meta-agent
1

meta-analysis-fundamentals

Teach the foundational concepts of meta-analysis including effect sizes, statistical models, and evidence synthesis. Use when users ask about meta-analysis basics, want to understand pooled effects, or need guidance on fixed vs random effects models.

meta-agent
meta-agent
1

evolve

自我進化 Agent - 已遷移至原子化架構

miles990
miles990
1

ios-input-hints

Ensure iOS/iPadOS-friendly form inputs (keyboard type, inputmode, autocomplete, autocapitalize/autocorrect, enterkeyhint) when editing or reviewing UI forms in web apps. Use when adding or modifying form fields (Svelte/HTML/TSX/etc.), auditing form UX, or fixing mobile Safari keyboard issues.

nickabeelee
nickabeelee
1

ui-token-first

Enforce UI token usage for Espresso Engineered frontend work. Use when editing Svelte/SvelteKit UI, styling typography, voice lines, headers, cards, surfaces, or layout so styles come from frontend/src/lib/ui tokens instead of app.css or ad-hoc CSS.

nickabeelee
nickabeelee
1

backend-build-check

Ensure backend build readiness for Espresso Engineered. Use when backend code/config changes are made or when a feature/task is wrapping up to suggest running `npm run build:backend` (and tests only if requested).

nickabeelee
nickabeelee
1

design-system-token-enforcer

Enforce design system token usage in espresso-engineered-1 frontend UI work. Use when creating or editing Svelte components, layout sections, typography, spacing, colors, surfaces, or buttons, especially when introducing new UI components or section headers.

nickabeelee
nickabeelee
1

translate-image

Translate text in images, extract text via OCR, and remove text using TranslateImage AI. Use when user says 'translate image', 'OCR image', 'extract text from image', 'remove text from image', 'manga translate', or wants to process images with foreign-language text.

imagetranslationocrtext-removal
translateimage
translateimage
1

plan-replayer-testing

Expertise in adding new test cases for the TiDB plan replayer. Use when the user provides a plan replayer zip file and wants to create a new test.

hawkingrei
hawkingrei
1

context-management

Use for projects, tasks, or code that involve context engineering and context management for AI agents: keep prompt prefixes stable for KV-cache, use append-only context, prefer tool masking over tool removal, offload large observations into filesystem memory, recite goals/todos to control attention, preserve errors for recovery, and avoid few-shot pattern lock-in. Use when building or debugging agent loops, prompt/context schemas, memory strategies, or tool-availability policies.

hawkingrei
hawkingrei
1

bugfix

Fix software bugs with root-cause analysis, minimal diffs, regression tests, and a mandatory self-check loop. Use for general bugfix work that is not covered by a more specific domain skill.

hawkingrei
hawkingrei
1

tidb-profiler-analyzer

Processes and analyzes TiDB profiler zip packages (CPU or heap) for components like TiDB, TiKV, PD, or TiFlash. It unzips, aggregates the profiler data, and uses `go tool pprof` to report on the most time-consuming functions (CPU) or highest memory allocations (heap).

hawkingrei
hawkingrei
1

pr-review-helper

Gather PR review context: all comments (including review suggestions), diff context, and CI status; download GitHub Actions logs on failures. Prefer GitHub MCP for reads, fall back to gh CLI when needed.

hawkingrei
hawkingrei
1

tidb-doc-finder

TiDB-specific documentation lookup guided by this repo's llms.txt hub: read llms.txt, pick the best linked source (tidb-dev-guide llms-full.txt, TiDB user guide llms.txt, or Uber Go style guide), fetch it, then search within it to answer with precise references. Use when asked to find docs, research, or provide doc-grounded answers about TiDB development or usage.

hawkingrei
hawkingrei
1

tidb-optimizer-bugfix

Fix TiDB optimizer bugs with minimal diffs, hypothesis-driven validation, and regression tests. Use the bundled issue precedents only to avoid re-fixing already solved bugs or inspect suspect historical fixes.

hawkingrei
hawkingrei
1

containerization

Docker and Kubernetes deployment patterns for Elixir/Phoenix applications

layeddie
layeddie
11

distributed-systems

Distributed systems patterns for BEAM/OTP including clustering, supervision, and multi-region deployment

layeddie
layeddie
11

liveview-patterns

Phoenix LiveView UI and real-time feature patterns

layeddie
layeddie
11

nx-patterns

Nx and Livebook patterns for machine learning in Elixir

layeddie
layeddie
11

elixir-architect

Use when designing or architecting Elixir/Phoenix applications, creating comprehensive project documentation, planning OTP supervision trees, defining domain models with Ash Framework, structuring multi-app projects with path-based dependencies, or preparing handoff documentation for Director/Implementor AI collaboration

layeddie
layeddie
11

graphql-patterns

GraphQL patterns with Absinthe framework for Elixir/Phoenix applications

layeddie
layeddie
11

observability

Telemetry, metrics, tracing, and observability for Elixir/BEAM applications

layeddie
layeddie
11

otp-patterns

Implements OTP design patterns including GenServer, Supervisor, and Application behaviors.

layeddie
layeddie
11

api-versioning

API versioning strategies including URL-based, header-based, and breaking change management

layeddie
layeddie
11

data-pipeline

GenStage, Broadway, and Flow for Elixir data pipelines

layeddie
layeddie
11

nerves-patterns

Nerves embedded development patterns for Elixir/Nerves systems

layeddie
layeddie
11

test-generation

Generates comprehensive Elixir tests using ExUnit following TDD principles.

layeddie
layeddie
11

elixir-scribe

Single Responsibility Code in Self-Documented Folder Structure

layeddie
layeddie
11

resilience-patterns

Resilience and error recovery patterns including circuit breaker, retry strategies, and graceful degradation

layeddie
layeddie
11

elixir-guidelines

Official Elixir community standards, naming conventions, and best practices

layeddie
layeddie
11

git-workflow

Git and GitHub workflow automation skills for OpenCode agents

layeddie
layeddie
11

ai-orchestration

LLM keyring management, multi-provider support, and AI agent orchestration

layeddie
layeddie
11

ecto-query-analysis

Analyzes Ecto queries for N+1 problems, missing preloads, and performance issues.

layeddie
layeddie
11

performance-profiling

Performance profiling and optimization for Elixir/BEAM applications

layeddie
layeddie
11

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.