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All Skills

Total 49,990 skills

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Showing 12 of 49990 skills

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Code Qualityjellydn/my-ai-tools

plannotator-review

Open interactive code review for current changes using Plannotator UI

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3
DevOps & Cloud Servicesvm0-ai/vm0-skills

cloudflare-tunnel

Authenticate requests through Cloudflare Access / Cloudflare Tunnel using Service Token headers. Use when accessing services protected by Cloudflare Zero Trust.

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3
Product & Designommakes/skills

righter

Apply UX content writing principles to review existing UI copy or write new UI copy from scratch. Use this skill whenever someone asks you to: review, audit, critique, or improve UI text, error messages, button labels, tooltips, empty states, onboarding copy, form helper text, or any software interface copy. Also trigger when someone asks you to write new UI copy, label a button, draft an error message, write a modal, or create any in-product text. If the request involves words that appear inside software — use this skill.

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3
AI & Machine Learninghamelsmu/evals-skills

validate-evaluator

Calibrate an LLM judge against human labels using data splits, TPR/TNR, and bias correction. Use after writing a judge prompt (write-judge-prompt) when you need to verify alignment before trusting its outputs. Do NOT use for code-based evaluators (those are deterministic; test with standard unit tests).

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3
AI & Machine Learninghamelsmu/evals-skills

generate-synthetic-data

Create diverse synthetic test inputs for LLM pipeline evaluation using dimension-based tuple generation. Use when bootstrapping an eval dataset, when real user data is sparse, or when stress-testing specific failure hypotheses. Do NOT use when you already have 100+ representative real traces (use stratified sampling instead), or when the task is collecting production logs.

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3
AI & Machine Learninghamelsmu/evals-skills

eval-audit

Audit an LLM eval pipeline and surface problems: missing error analysis, unvalidated judges, vanity metrics, etc. Use when inheriting an eval system, when unsure whether evals are trustworthy, or as a starting point when no eval infrastructure exists. Do NOT use when the goal is to build a new evaluator from scratch (use error-analysis, write-judge-prompt, or validate-evaluator instead).

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3
Backend Developmentar4mirez/samuel

micronaut

Micronaut framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Micronaut projects, or when the user mentions Micronaut. Provides compile-time DI, HTTP server/client, data access, and cloud-native guidelines.

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3
AI & Machine Learningmichael-menard/monorepo

session-create

Open a new context session at the start of a leader agent workflow. Records agentName, storyId, and phase in wint.contextSessions, emitting a structured SESSION CREATED block for downstream workers to inherit.

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3
Tools & Utilitiesoctavehq/lfgtm

audit

Audit your Octave library for gaps, stale content, duplicates, and inconsistencies. Use when user says "audit my library", "check for gaps", "library health check", "find duplicates", or asks about library quality and completeness.

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3
Frontend Developmentryokun6/ryos

create-ryos-app

Create new applications for ryOS following established patterns and conventions. Use when building a new app, adding an application to the desktop, creating app components, or scaffolding app structures.

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3
DevOps & Cloud Servicesborghei/claude-skills

release-manager

Automates release management with changelog generation, semantic versioning, and release readiness checks. Use when preparing releases, generating changelogs, bumping versions, or validating release candidates.

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3
3 scripts/Attention
Code Qualityj5ik2o/okite-ai

custom-linter-creator

Skill for creating custom lint rules by leveraging the existing linter ecosystems of various programming languages. This is a linter designed for AI Agents rather than humans, and its error messages function as correction instruction prompts for AI. Create custom rules in the `lints/` directory using standard methods for each language, including Rust (dylint), TypeScript/JavaScript (ESLint), Python (pylint), Go (golangci-lint), etc. Use this skill in the following scenarios: (1) When you want AI to enforce project-specific coding rules; (2) When you want to create lint rules that output AI-readable correction instructions when violations occur; (3) When you want to enforce naming conventions, structural patterns, and consistency rules through AI-driven linting. Triggers: "Create a linter rule", "Add a lint rule", "Enforce this pattern", "AI linter", "Custom lint", "Code rules", "Naming rules", "Structural rules", "create a linter rule", "add a lint rule", "enforce this pattern", "AI linter".

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3
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