CtrlK
BlogDocsLog inGet started
Tessl Logo

Discover

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

AllSkillsDocsRules
NameContainsScore

github

Hung-Reo/hungreo-openclaw

GitHub operations via `gh` CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available), bulk operations across many repos (script with gh api), or when gh auth is not configured.

Skills

89

1.30x

reddit/devvit-skills

Look up Devvit documentation from the reddit/devvit-docs repository. Use when the user asks about Devvit APIs, patterns, configuration, or examples (trigger phrases: "how do I", "devvit docs", "show me the docs", "API reference").

Skills

89

2.22x

benchflow-ai/skillsbench

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

Skills

89

1.36x

provectus/awos-recruitment

This skill should be used when the user asks to "create a SwiftUI view", "build an iOS app", "set up an Xcode project", "review Apple platform code", "add a widget", "create a watchOS app", "build for visionOS", "fix SwiftUI layout", or when generating any Swift code targeting Apple platforms (iOS, iPadOS, macOS, tvOS, watchOS, visionOS). Provides modern SwiftUI-first best practices covering UI patterns, app lifecycle, navigation, project structure, and platform-specific guidance. Use together with `swift-development` for Swift language fundamentals. Always generates Swift unless the project explicitly requires Objective-C.

Skills

89

1.05x

sivaprasadreddy/sivalabs-agent-skills

Build Spring Boot 4.x applications following the best practices. Use this skill: * When developing Spring Boot applications using Spring MVC, Spring Data JPA, Spring Modulith, Spring Security * To create recommended Spring Boot package structure * To implement REST APIs, entities/repositories, service layer, modular monoliths * To use Thymeleaf view templates for building web applications * To write tests for REST APIs and Web applications * To write ArchUnit tests for testing architecture * To configure the recommended plugins and configurations to improve code quality, and testing while using Maven. * To use Spring Boot's Docker Compose support for local development * To create Taskfile for easier execution of common tasks while working with a Spring Boot application

Skills

89

2.54x

onmax/nuxt-skills

Use when writing blog posts or documentation markdown files - provides writing style guide (active voice, present tense), content structure patterns, and MDC component usage. Overrides brevity rules for proper grammar. Use nuxt-content for MDC syntax, nuxt-ui for component props.

Skills

89

1.55x

secondsky/claude-skills

Complete CI/CD guide for Cloudflare Workers using GitHub Actions and GitLab CI. Use for automated testing, deployment pipelines, preview environments, secrets management, or encountering deployment failures, workflow errors, environment configuration issues.

Skills

89

1.38x

secondsky/claude-skills

HTTP API testing for TypeScript (Supertest) and Python (httpx, pytest). Test REST APIs, GraphQL, request/response validation, authentication, and error handling.

Skills

89

1.38x

alchaincyf/nuwa-skill

Andrej Karpathy的思维框架与表达方式。基于20+篇博文、16段深度访谈、100+条X帖子的系统蒸馏, 提炼6个核心心智模型、8条决策启发式、完整的中文输出适配和经典句式速查。 用途:作为思维顾问,用Karpathy的视角分析AI技术可靠性、学习方法、行业趋势、产品设计。 当用户提到「用Karpathy的视角」「Karpathy会怎么看」「卡帕西」「karpathy模式」时使用。 也适用于:Software 2.0/3.0讨论、vibe coding话题、神经网络训练、AI炒作判断、LLM能力边界。 即使用户只是说「从工程现实主义角度」「march of nines」「构建即理解」「锯齿状智能」也可触发。 不在用户只是普通问AI相关问题时触发——只在明确想要Karpathy式思维框架时激活。

Skills

89

1.00x

davepoon/buildwithclaude

Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks

Skills

89

2.90x

tessl/skill-optimizer

v0.16.0

Optimize your skills and plugins: review SKILL.md quality, generate eval scenarios, run evals, compare across models, diagnose gaps, and re-run until scores improve.

Contains:

compare-skill-model-performance

Run task evals across multiple Claude models, compare results side-by-side, and optimise. Use when you want to benchmark a skill across models, compare haiku vs sonnet vs opus performance, run multi-model comparison or benchmark reports, identify model-specific gaps versus universal plugin gaps, evaluate whether a skill works for all model tiers, or validate a skill before publishing it to the registry.

optimize-skill-instructions

Review and improve your skill with actionable recommendations. Reviews the whole bundle, validates syntax and references, explains rubric, shows before/after scores, and edits the SKILL.md and its reference docs. Use when reviewing skill quality, improving a SKILL.md or its reference files, checking scoring dimensions and quick wins, auditing progressive disclosure and orphaned bundle files, generating improvement recommendations, running a post-edit quality audit, creating approval-gated change proposals, or automating the skill review workflow. For the full optimization cycle (review + evals + improve), use `optimize-skill-performance-and-instructions`.

optimize-skill-performance-and-instructions

Run the full optimization cycle for a plugin — review best practices, generate eval scenarios, run BOTH activation evals (does the skill self-activate?) and content evals (does the plugin help solve tasks?), diagnose gaps, fix, and re-run until scores improve. Use when someone says "optimize my skill", "improve my plugin", "run evals", "benchmark my plugin", or wants to measure and improve how well a plugin helps agents solve tasks.

Skills

89

1.14x

langbot-app/LangBot

Deploy and configure a LangBot instance — Docker / Docker Compose, Kubernetes, the config.yaml model, the Box sandbox runtime, the plugin runtime, and the global API key. Use when installing, deploying, upgrading, or configuring LangBot in production or self-hosted environments. Triggers on "deploy langbot", "langbot docker", "langbot compose", "langbot kubernetes", "langbot config.yaml", "langbot box runtime", "langbot global api key".

Skills

89

2.00x

jeremylongshore/claude-code-plugins-plus-skills

Deploy this skill enables AI assistant to deploy machine learning models to production environments. it automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. use this skill when th... Use when deploying or managing infrastructure. Trigger with phrases like 'deploy', 'infrastructure', or 'CI/CD'.

Skills

89

1.03x

Skills are the new Code by Guy Podjarny

Contains:

talk-podjarny-skills-are-the-new-code-aindc

Use when the user asks about Guy Podjarny's talk "Skills are the new Code" (AI Native Dev Con Spring 2026 keynote) — the agentic software stack (tools, context, harnesses, factory lines), Context Development Life Cycle (CDLC), skill rot, negligent vs malicious skills, evals for skills, skill dependency management, or his five-tool framework (static analysis, evals, dependency management, security, observability). ALSO use proactively (even if the talk is not mentioned) when the user is writing a skill spec / template / style guide, designing a shared skill library or skill registry, defining skill quality / safety / metadata standards, versioning skills, writing skill rot or lifecycle policy, addressing agent supply chain security, or defining evals for skills — to embed one relevant verbatim quote from Guy's keynote into the deliverable.

Skills

89

1.38x

a-pavithraa/aws-serverless-skill

Patterns and best practices for AWS infrastructure as code with Terraform. Use when the user asks about Terraform module structure, naming conventions, state management, IAM policies (least privilege, OIDC), CI/CD pipelines for infrastructure (GitHub Actions, OIDC authentication), security scanning (Checkov, CKV_AWS checks), secrets management, KMS key policies, confused deputy prevention, Lambda function URL auth, API Gateway WAF/logging, or general IaC architecture decisions. Triggers on: Terraform, OpenTofu, IaC, modules, tfstate, remote state, OIDC, IAM, least privilege, GitHub Actions, CI/CD, infrastructure pipeline, AWS provider, Checkov, static analysis, IaC scanning, confused deputy, source ARN, KMS, CMK, secrets in state, ephemeral resources, Lambda function URL, API Gateway WAF.

Skills

89

2.02x

openclaw/openclaw

Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.

Skills

89

1.86x

deepgram/dglabs-deepclaw

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.

Skills

89

1.86x

Authors test-data factories using Faker: the Python `faker` library, the `@faker-js/faker` JS port, and the `faker-ruby` gem. Owns the library mechanics end to end: install per language, the provider catalogue (person / internet / location / date / finance / lorem), locale selection and multi-locale mode, and seed-based determinism for reproducible runs. Scope is generating fresh values for tests that start from nothing, not replacing values inside an existing dataset that already holds real records - a production dump in staging goes to pii-masking-pipeline-builder in qa-test-data-privacy (its faker-masking-operators reference), which owns referential integrity and re-identification. Prefer this skill when the codebase already uses the Faker family or when cross-language consistency across Python, JS, and Ruby matters; use synthetic-data-toolkit's mimesis reference only when deeper Python locale coverage is the priority. Use when authoring fixtures or factories that need realistic-looking field values.

Contains:

faker-data

Authors test-data factories using Faker: the Python `faker` library, the `@faker-js/faker` JS port, and the `faker-ruby` gem. Owns the library mechanics end to end: install per language, the provider catalogue (person / internet / location / date / finance / lorem), locale selection and multi-locale mode, and seed-based determinism for reproducible runs. Scope is generating fresh values for tests that start from nothing, not replacing values inside an existing dataset that already holds real records - a production dump in staging goes to pii-masking-pipeline-builder in qa-test-data-privacy (its faker-masking-operators reference), which owns referential integrity and re-identification. Prefer this skill when the codebase already uses the Faker family or when cross-language consistency across Python, JS, and Ruby matters; use synthetic-data-toolkit's mimesis reference only when deeper Python locale coverage is the priority. Use when authoring fixtures or factories that need realistic-looking field values.

Skills

89

jahro-console/unity-agent-skills

Configures Jahro lifecycle controls for safe production deployment including JAHRO_DISABLE, auto-disable, and build validation. Use when the user mentions production builds, release builds, disabling Jahro, shipping, CI/CD, lifecycle controls, or production safety.

Skills

89

3.14x

qsimeon/openclaw-engaging

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.

Skills

89

1.86x

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