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Discover and install skills, docs, and rules to enhance your AI agent's capabilities.

AllSkillsDocsRules
NameContainsScore

eightctl

attilaczudor/Test

Control Eight Sleep pods (status, temperature, alarms, schedules).

Skills

69

2.07x

Hung-Reo/hungreo-openclaw

Control Eight Sleep pods (status, temperature, alarms, schedules).

Skills

69

2.07x

wu-yc/LabClaw

Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.

Skills

69

2.86x

tessleng/sdlc-assurance

v0.1.1

Assurance guidance for verification, technical review, review fixes, and safe delivery handoff.

Contains:

finishing-a-development-branch

Verify tests pass, then present the integration options for a finished branch — merge locally, push and open a pull request, or keep it as-is — execute the choice, and clean up the worktree safely. This is the internal integration stage of the delivery-flow workflow. Use it only after implementation is verified and only when the user has authorized an integration decision, for example by saying "finish this branch", "merge my work", or "open a PR" — never activate it directly for an unrelated standalone request.

receiving-code-review

Evaluate code review feedback on its technical merits, verify each suggestion against the codebase, then implement the fixes that hold up and push back with reasoning on the ones that don't. This is the internal review-fix stage of the delivery-flow workflow, run when delivery-flow receives feedback from a reviewer. It is not a standalone entry point, so do not activate it directly for a one-off "address this review comment" or "respond to PR feedback" request; use delivery-flow for those instead.

requesting-code-review

Dispatch a code-reviewer subagent with precisely scoped context (git SHAs, task description, requirements) to review a diff and return Critical, Important, and Minor findings. Use after delivery-flow finishes implementing and verifying a task, before merging to main. This is the internal code-review stage of the delivery-flow workflow. It is not a standalone entry point, so do not activate it directly for a one-off "review this PR" or "review my code" request; use delivery-flow for those instead.

Skills

69

PaddleHQ/paddle-agent-skills

Receive and verify Paddle webhooks in a Next.js Route Handler — signature verification, idempotency, retry semantics, and local testing.

Skills

69

1.08x

PaddleHQ/paddle-agent-skills

Receive and verify Paddle webhooks in a Next.js Route Handler — signature verification, idempotency, retry semantics, and local testing.

Skills

69

1.08x

cognitedata/builder-skills

MUST be used whenever fixing security issues in a Flows app, or before shipping any feature that handles credentials, user input, or external data. This skill finds AND fixes security problems — it does not just report them. Do NOT skip this when the user asks for a security fix, security hardening, or vulnerability remediation — run every step in order. Triggers: security, security fix, security hardening, vulnerability, XSS, injection, credentials, secrets, auth, authentication, authorization, token, sensitive data, input validation, CORS, CSP, dependency audit.

Skills

69

1.07x

HoangNguyen0403/agent-skills-standard

Write effective code comments, READMEs, and technical documentation following intent-first principles. Use when adding comments, writing docstrings, creating READMEs, or updating any documentation.

Skills

69

1.14x

PaloAltoNetworks/shifter

Stage files, run pre-commit, fix failures, loop until clean

Skills

69

1.00x

administrakt0r/AI-Agents-Safe-Coding-Skills

Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer

Skills

69

1.17x

administrakt0r/AI-Agents-Safe-Coding-Skills

Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer

Skills

69

1.17x

administrakt0r/AI-Agents-Safe-Coding-Skills

Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer

Skills

69

1.17x

secondsky/claude-skills

Build MCP (Model Context Protocol) servers on Cloudflare Workers with tools, resources, and prompts.

Skills

69

1.64x

Hung-Reo/hungreo-openclaw

Search and analyze your own session logs (older/parent conversations) using jq.

Skills

69

1.91x

deepgram/dglabs-deepclaw

Search and analyze your own session logs (older/parent conversations) using jq.

Skills

69

1.91x

qsimeon/openclaw-engaging

Search and analyze your own session logs (older/parent conversations) using jq.

Skills

69

1.91x

attilaczudor/Test

Search and analyze your own session logs (older/parent conversations) using jq.

Skills

69

1.91x

Skills that Tessl factory loops run: implement a Linear or GitHub issue as a pull request, shepherd that pull request through review and checks, wake the shepherd for pull requests that a push to their base branch left in conflict, and keep the work in step when a person stops, ends, answers or closes it.

Contains:

follow-ticket-changes

Keep Tessl's issue work in step with what people do: cancel runs when a person takes an issue back, close the pull request when an issue ends, wake the issues it was blocking, wake an issue when a person answers Tessl's question, tell a person in Linear why their reply or new session changed nothing, and cancel runs when a Tessl pull request closes. Works with Linear and with GitHub Issues.

implement-github-issue

Implement a GitHub issue that a person labelled for Tessl: read the issue and the repository, make the change on the issue's own branch, run the tests, and open one pull request for the issue. Stops without a trace when a person has taken the issue back.

implement-linear

Implement a Linear issue that a person delegated to Tessl: read the issue and the repository, make the change on the issue's own branch, run the tests, and open one pull request for the issue. Stops without a trace when a person has taken the issue back.

Skills

69

Automattic/build-with-wordpress

Create a modern WordPress block theme.

Skills

69

1.19x

Dicklesworthstone/pi_agent_rust

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.

Skills

69

0.98x

Can't find what you're looking for? Evaluate a missing skill.