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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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databases

Master relational and NoSQL databases. Learn PostgreSQL, MySQL, MongoDB, Redis, and other technologies for data persistence, optimization, and scaling.

pluginagentmarketplace
pluginagentmarketplace
31

messaging

Message queues and event-driven backend architecture. RabbitMQ, Kafka, pub/sub patterns, and async communication.

pluginagentmarketplace
pluginagentmarketplace
31

observability

Logging, metrics, and distributed tracing. OpenTelemetry, Prometheus, Grafana, and production debugging.

pluginagentmarketplace
pluginagentmarketplace
31

microservices

Microservices architecture patterns and best practices. Service decomposition, inter-service communication, and distributed data management.

pluginagentmarketplace
pluginagentmarketplace
31

testing

Backend testing strategies and test automation. Unit, integration, E2E, and load testing with best practices.

pluginagentmarketplace
pluginagentmarketplace
31

security

Secure backend applications against OWASP threats. Implement authentication, encryption, scanning, compliance, and incident response procedures.

pluginagentmarketplace
pluginagentmarketplace
31

api-design

Design and build professional APIs with REST, GraphQL, and gRPC. Master authentication, documentation, testing, and operational concerns.

pluginagentmarketplace
pluginagentmarketplace
31

architecture

Master architectural design with SOLID principles, design patterns, microservices, and event-driven systems. Learn to design scalable backend systems.

pluginagentmarketplace
pluginagentmarketplace
31

authentication

Backend authentication and authorization patterns. JWT, OAuth2, session management, RBAC, and secure token handling.

pluginagentmarketplace
pluginagentmarketplace
31

languages

Master programming languages for backend development. Learn language selection, fundamentals, and ecosystem for JavaScript, Python, Go, Java, C#, PHP, Ruby, and Rust.

pluginagentmarketplace
pluginagentmarketplace
31

performance

Optimize application performance through caching strategies, load balancing, database scaling, and monitoring. Build systems handling thousands of concurrent users.

pluginagentmarketplace
pluginagentmarketplace
31

devops

Deploy applications with Docker and Kubernetes, automate with CI/CD, manage infrastructure with code, and configure cloud platforms and networking.

pluginagentmarketplace
pluginagentmarketplace
31

hashing-techniques

Hash-based data structures and techniques including frequency counting, duplicate detection, and LRU cache implementation.

pluginagentmarketplace
pluginagentmarketplace
3

linked-lists

Linked list data structures and operations

pluginagentmarketplace
pluginagentmarketplace
3

graph-algorithms

Essential graph algorithms including DFS, BFS, Dijkstra shortest path, and Union-Find with production-ready implementations.

pluginagentmarketplace
pluginagentmarketplace
3

strings

String algorithms and pattern matching techniques

pluginagentmarketplace
pluginagentmarketplace
3

recursion

Recursive algorithms and divide-and-conquer strategies

pluginagentmarketplace
pluginagentmarketplace
3

stacks-queues

Stack and queue data structures with applications

pluginagentmarketplace
pluginagentmarketplace
3

backtracking-patterns

Master backtracking technique with permutations, combinations, and puzzle solving patterns with production-ready implementations.

pluginagentmarketplace
pluginagentmarketplace
3

bit-manipulation

Bit manipulation tricks and techniques for solving problems efficiently using binary operations and XOR properties.

pluginagentmarketplace
pluginagentmarketplace
3

dynamic-programming

Master DP patterns with complete implementations for memoization, tabulation, and state design with production-ready solutions.

pluginagentmarketplace
pluginagentmarketplace
3

tree-traversal

Master tree traversal techniques including DFS (inorder, preorder, postorder) and BFS level-order traversal with production-ready implementations.

pluginagentmarketplace
pluginagentmarketplace
3

array-techniques

Master essential array techniques including two pointers, sliding window, and prefix sums for efficient problem solving with O(n) patterns.

pluginagentmarketplace
pluginagentmarketplace
3

sorting-algorithms

Complete sorting algorithm implementations including quick sort, merge sort, and binary search with complexity analysis and production-ready code.

pluginagentmarketplace
pluginagentmarketplace
3

user-guides

Production-grade skill for creating comprehensive user guides, tutorials, step-by-step instructions, troubleshooting guides, and FAQ sections with quality metrics and validation.

pluginagentmarketplace
pluginagentmarketplace
3

code-examples

Production-grade skill for generating clear, well-documented code examples, implementation patterns, configuration files, and integration samples with multi-language support.

pluginagentmarketplace
pluginagentmarketplace
3

api-documentation

Production-grade skill for API documentation creation including OpenAPI/Swagger specifications, REST endpoint documentation, authentication flows, and error handling guides.

pluginagentmarketplace
pluginagentmarketplace
3

lintmesh

Run multiple linters (eslint, oxlint, tsgo) in parallel with unified JSON output. Use when linting code, checking for errors before commits, or debugging lint failures. Triggers on "lint", "check code", "run linters", or after editing JS/TS files.

hexsprite
hexsprite
3

ca-implement-plan

Build a saved task-by-task implementation plan in an isolated worktree, milestone by milestone, with Claude checkpoint reviews between milestones and Claude-reviewed final rounds gating the PR before it is marked ready — the Codex half of the ca (Cooperate Agents) loop. Use when the user points at a plan file under docs/ca/plans or any task-by-task plan and says things like "implement this plan", "build the plan at this path", "run the ca loop on this plan", or "have Claude review what you built". Human confirmation is required at key decision points and before cleanup.

ken2403
ken2403
3

apply-feedback

Address review feedback on a PR and push the fixes back, rigorously — feedback is evaluated against the code, not obeyed blindly. Use after /ha:review-pr requests changes, or to act on human review comments on a PR. Invoke explicitly with /ha:apply-feedback. Requires the superpowers plugin.

ken2403
ken2403
3

adversarial-verification

Multi-pass adversarial verification harness that guarantees the accuracy of a change before it ships. Use whenever you need high confidence that an implementation is correct, safe, and complete — before opening a PR, before approving a review, or whenever a change touches risky surface area such as auth, crypto, data migration, money, or external input.

ken2403
ken2403
3

synthesize-review

Synthesize a blind Claude review and an advisory Codex second-opinion review into the single ca_claude_review.v1 verdict for a ca final review round. Use when the ca loop invokes /ca:synthesize-review with blind, second_opinion, plan, pr, round, and out paths. Does not edit code.

ken2403
ken2403
3

review-pr

Review a pull request against the implementation plan it was built from, then emit a structured ca_claude_review.v1 JSON verdict (approve / request_changes / blocked) with blocking findings. Supports mid-implementation checkpoint reviews (mode=checkpoint) that judge only the milestones built so far. Use when the ca loop or a user asks to review a Codex-built PR before it is merged, or says things like "review this PR against the plan", "review what Codex built", "is this implementation correct", or invokes /ca:review-pr. Reviews the PR diff; does not edit code.

ken2403
ken2403
3

resolve-conflicts

Resolve merge conflicts between a ca feature branch and its base branch, in an isolated worktree, preserving the intent of both sides. Use when a ca PR or feature branch is behind or conflicting with the base branch and you want the conflicts resolved, verified, and pushed. Invoke explicitly with /ca:resolve-conflicts.

ken2403
ken2403
3

plan-loop

Draft an implementation plan for an epic or feature, then spar with Codex to harden it before saving. Use when the user wants to plan a sizable change and have a second model stress-test the plan, or says things like "plan this feature", "draft a plan and spar with Codex", "write an implementation plan for", or invokes /ca:plan-loop. Produces a saved task-by-task plan ready for the ca implement loop.

ken2403
ken2403
3

merge-pr

Merge a ca PR after confirming it is genuinely ready — open, not draft (in ca a draft means the Codex-Claude review loop has not approved it), green CI, mergeable, no unresolved blocking feedback. Use once the ca loop marked the PR ready and you want it merged from the CLI. Refuses to merge drafts, red checks, or conflicts. Invoke explicitly with /ca:merge-pr.

ken2403
ken2403
3

implement

Kick off the ca implement loop for a saved plan — create an isolated git worktree for it and print the exact Codex command to run there. Use when the user has a saved plan and wants to build it with the ca loop, or says things like "implement this plan with ca", "start building this plan", "kick off implementation of", "set up the worktree for", or invokes /ca:implement. Hands off to a Codex session; it does not implement the plan itself.

ken2403
ken2403
3

dual-review

Run the ca dual-model review (Codex second opinion + blind Claude review + Claude synthesis) standalone on any PR — no implement loop required. Use to get a Claude-and-Codex joint review of a pull request, to re-review a PR after the ca loop finished, or when the user says "dual review this PR", "review with both Claude and Codex", or invokes /ca:dual-review. Emits the same ca_claude_review.v1 verdict as the loop's final review.

ken2403
ken2403
3

code-review

Standards for writing and reviewing code — quality, test rigor, security, and codebase consistency. Use whenever implementing, changing, or reviewing code, or when checking a PR or diff for bugs, missing test coverage, vulnerabilities, missed propagation, or style drift.

ken2403
ken2403
3

clean-worktrees

Reclaim worktrees after features land — remove every merged worktree in the repo (ca/sa/ha and any other, regardless of location) and delete their merged branches. Use once a ca PR is merged. Safe by default — never removes a worktree with uncommitted changes, never deletes an unmerged branch, and never touches the main checkout (it removes the current worktree too, but only if its branch is merged). Invoke explicitly with /ca:clean-worktrees.

ken2403
ken2403
3

plan

Plan ONE feature thoroughly before any code. Use when starting a feature in ha and you want a rigorous, vetted plan you approve before implementation — for a non-trivial change where getting the design and the tests right up front matters more than speed. Accepts a GitHub issue, spec, @file, or free-text task. Invoke explicitly with /ha:plan; hands off to /ha:implement. Requires the superpowers plugin.

ken2403
ken2403
3

simple-implement

Takes a plan — a file path or plain-text task — and drives ONE simple feature to an open PR fast, with a human approval gate before any code is written. Use for a small-to-medium, well-scoped implementation task where you want to move quickly and review separately afterward. Stops at PR; run /sa:review-pr to review. Invoke explicitly with /sa:simple-implement.

ken2403
ken2403
3

ticket-comment

Add a comment to a Jira ticket. Use when the user wants to post an update, ask a question, document a decision, or communicate status on a ticket.

rlcurrall
rlcurrall
32

pr-comment

Post a comment on a pull request. Use when the user wants to add a comment to a PR, respond to feedback, request review, or document decisions.

rlcurrall
rlcurrall
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ticket-search

Search Jira tickets using JQL queries. Use when the user wants to find tickets, search for issues, list their assigned work, or query the backlog.

rlcurrall
rlcurrall
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pr-comments

Load PR comments and feedback for code review. Use when the user wants to see reviewer feedback, check for unresolved comments, understand what changes are requested, or review discussion on a PR.

rlcurrall
rlcurrall
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pr-list

List pull requests from the repository. Use when the user wants to see open PRs, find PRs to review, check their own PRs, or browse PR history.

rlcurrall
rlcurrall
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pr-reply

Reply to an existing comment thread on a pull request. Use when the user wants to respond to reviewer feedback, continue a discussion, or acknowledge comments in an existing thread.

rlcurrall
rlcurrall
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pr-update

Update an existing pull request. Use when the user wants to modify PR title, description, publish a draft, convert to draft, abandon, or reactivate a PR.

rlcurrall
rlcurrall
32

pr-view

View pull request details including title, status, branches, and description. Use when the user asks about a PR, wants PR context, mentions viewing/checking a pull request, or needs to understand what a PR is about.

rlcurrall
rlcurrall
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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.