Hot Reloading for Chrome Extensions
This skill should be used when the user asks to "setup hot reload", "add hot reloading to chrome extension", "watch extension files", "auto reload extension", or mentions "manifest v3 hot reload". Provides a zero-dependency solution for automatic extension refreshing during development.
buildless-types
Use when the user asks to "set up types without a build step", "use vanilla JS with types", "configure erasable syntax", or mentions "JSDoc type checking". It provides instructions for modern type safety using JSDoc in browsers and native TypeScript execution in Node.js.
code-simplifier-gemini-cli
Installs and runs the Code Simplifier subagents for Gemini CLI (Code Reuse Reviewer, Code Quality Reviewer, and Efficiency Reviewer) to review and clean up code changes. Trigger this skill when the user asks to "simplify code", "run code simplifier", "review changes for quality", or "setup review agents".
modern-css
Specialized knowledge for writing modern high-quality CSS. Trigger this skill when starting a new CSS project/file, when the user asks about new CSS features (e.g. Masonry, View Transitions, Container Queries, Scroll-driven animations), or requests refactoring of legacy styles to modern standards.
create-gemini-cli-subagents
Expert guide for defining, creating, and invoking custom subagents in Gemini CLI. Trigger this skill when the user wants to create a new specialist agent, define a custom subagent, or learn how to delegate tasks to specialist agents within the Gemini CLI environment.
lmms-eval-guide
Guides AI coding agents through the lmms-eval codebase - a unified evaluation framework for Large Multimodal Models (LMMs). Use when integrating new models, adding evaluation tasks/benchmarks, running YAML config-driven evaluations, orchestrating non-blocking training-time evaluation via the HTTP eval server, or navigating the evaluation pipeline architecture.
lmms-eval-guide
Guides AI coding agents through the lmms-eval codebase - a unified evaluation framework for Large Multimodal Models (LMMs). Use when integrating new models, adding evaluation tasks/benchmarks, running YAML config-driven evaluations, orchestrating non-blocking training-time evaluation via the HTTP eval server, or navigating the evaluation pipeline architecture.
write-pr-description
Write PR titles and descriptions the way a staff engineer would. Use when drafting or editing a pull request title and body, before running `gh pr create`, or any time the user asks for a PR description, summary, or release-notes-style writeup of a change. Apply this skill from the start, not as a cleanup pass after a generic first draft.
add-announcement
Helps add announcement cards to the sidebar banner system. Use when adding changelog entries, feature announcements, updates, or promotional banners to the Agenta sidebar. Handles both simple changelog entries and complex custom banners.
resolve-findings
Resolve findings by implementing the chosen fix path in code, tests, or docs. Accept optional `path` and a `priority` selector; by default resolve only the next highest remaining priority bucket, in order `P0`, `P1`, `P2`, `P3`. Also accept explicit levels or `all`. Default to `path=infer`. Confirm effective variables before starting.
update-llm-model-list
Audit and update the supported LLM model list in assets.py against litellm's registry (models.litellm.ai). Use when adding new models, pruning outdated ones, or verifying the list is correct.
update-api-docs
Update the API reference documentation by downloading the latest OpenAPI spec from production and regenerating the Docusaurus API docs
scan-codebase
Perform a fresh-context scan of code and docs that turns verification observations and missing-test gaps into findings. Accept optional `path` and `depth` parameters and default to `path=infer`, `depth=deep`. Confirm effective variables before starting.
test-codebase
Run or inspect the relevant validation paths and turn failures, regressions, or missing coverage into findings. Accept optional `path` and `depth` parameters and default to `path=infer`, `depth=deep`. Confirm effective variables before starting.
triage-findings
Coordinate findings work with the user, decide whether scan, test, or sync should run, and turn the current findings set into a ready plan. Accept optional `path` and GitHub PR `url`; default to `path=infer`. Confirm effective variables before starting.
sync-findings
Sync the findings record against local review artifacts and optionally a GitHub PR. Accept optional `path` and GitHub PR `url`; when `url` is provided, sync against both remote PR state and local state, otherwise default to local-only sync. Default to `path=infer`. Confirm effective variables before starting.
create-changelog-announcement
Use this skill to create and publish changelog announcements for new features, improvements, or bug fixes. This skill handles the complete workflow - creating detailed changelog documentation pages, adding sidebar announcement cards, and ensuring everything follows project standards. Use when the user mentions adding changelog entries, documenting new features, creating release notes, or announcing product updates.
write-docs
Use when writing or editing documentation pages (concept pages, how-to guides, API reference prose, tutorials) under docs/. Provides the writing style, voice, and structural rules for Agenta docs. Apply this skill before drafting any new docs page, and include it in the brief for any subagent tasked with writing docs.
agenta-package-practices
Where to put frontend code (package vs app layer) and how to use the @agenta/* packages. Use when authoring or moving code in web/packages, choosing between @agenta/ui, @agenta/entities, @agenta/entity-ui, @agenta/shared, @agenta/playground, using molecules, loadable/runnable bridges, the EntityPicker, or writing package unit tests.
agentation-self-driving
Autonomous design critique mode using the Agentation annotation toolbar. Use when the user asks to "critique this page," "add design annotations," "review the UI," "self-driving mode," "auto-annotate," or wants an AI agent to autonomously add design feedback annotations to a web page via the browser. Requires the Agentation toolbar to be installed on the target page and agent-browser skill to be available.
agentation
Add Agentation visual feedback toolbar to a Next.js project
antv-l7
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dev-browser
Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.
mgrep
MANDATORY: Replaces ALL built-in search tools. You MUST invoke this skill BEFORE using WebSearch, Grep, or Glob. NEVER use the built-in WebSearch tool - use `mgrep --web` instead. NEVER use the built-in Grep tool - use `mgrep` instead.
wycheproof
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spec-to-code-compliance
Verifies code implements exactly what documentation specifies for blockchain audits. Use when comparing code against whitepapers, finding gaps between specs and implementation, or performing compliance checks for protocol implementations.
codeql
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ruzzy
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sarif-parsing
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semgrep
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supply-chain-risk-auditor
Identifies dependencies at heightened risk of exploitation or takeover. Use when assessing supply chain attack surface, evaluating dependency health, or scoping security engagements.
address-sanitizer
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aflpp
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ossfuzz
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libfuzzer
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libafl
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fuzzing-obstacles
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harness-writing
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atheris
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cargo-fuzz
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constant-time-testing
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coverage-analysis
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fuzzing-dictionary
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zeroize-audit
Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C/C++/Rust code handling secrets, keys, passwords, or other sensitive data.
yara-rule-authoring
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designing-workflow-skills
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skill-improver
Iteratively reviews and fixes Claude Code skill quality issues until they meet standards. Runs automated fix-review cycles using the skill-reviewer agent. Use to fix skill quality issues, improve skill descriptions, run automated skill review loops, or iteratively refine a skill. Triggers on 'fix my skill', 'improve skill quality', 'skill improvement loop'. NOT for one-time reviews—use /skill-reviewer directly.
testing-handbook-generator
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second-opinion
Runs external LLM code reviews (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits. Use when the user asks for a second opinion, external review, codex review, gemini review, or mentions /second-opinion.
semgrep-rule-creator
Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. Use when writing Semgrep rules or building custom static analysis detections.
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