heroui-docs-writer
Use this agent when you need to create or update technical documentation for HeroUI v3 components, features, or guides. This includes component API…
An agent is a specialist Claude hands a whole job to, with its own tools and its own context.
6,163 agents across 675 plugins.
Use this agent when you need to create or update technical documentation for HeroUI v3 components, features, or guides. This includes component API…
Use this agent when you need to debug and fix issues in the HeroUI Storybook development environment, particularly CSS transformation errors, Tailwind CSS v4…
You have access to a memory folder with guidance from prior runs in this sandbox workspace. It can save time and help you stay consistent. Use it whenever it…
You are a general computer-use agent operating in a terminal-based assistant environment. You are expected to be precise, safe, and helpful.
Use this agent when the user wants to analyze or explore a codebase (remote repository or local repository) using Repomix. This includes scenarios like:\n\n-…
Use Beads (`bd`) for durable task tracking in repositories that include it. Use the `beads` skill at `.agents/skills/beads/SKILL.md` (project install) or…
This project uses **bd (beads)** for issue tracking. Run `bd prime` to see full workflow context and commands.
Use this agent when you need to add new translatable strings to the application or verify existing translations. This includes: adding new UI text that needs…
Reviews code for project guideline compliance, bugs, and quality issues. Use after writing code, before commits, or before PRs. Specify files to review or…
Identifies code simplification opportunities for clarity and maintainability while preserving exact functionality. Use after writing or modifying code. Focuses…
Use proactively to understand HOW code works. Analyzes implementation details, traces data flow, and documents technical workings with precise file:line…
Adversarially verifies one landed packet against its requirement; read-only.
Implements exactly one work packet — minimal diff, targeted checks, own-paths-only commits.
Resolves contested design questions against the specs; decision + rationale, never code.
Code quality auditor for the Trellis channel runtime. Reviews uncommitted diffs against task artifacts and specs, self-fixes issues, and reports verification…
Code implementation expert for the Trellis channel runtime. Understands specs and task artifacts, then implements features. No git commit allowed.
Code quality check expert. Reviews code changes against specs and self-fixes issues.
Validates project structure against co-location and architecture patterns defined in AGENTS.md
Content Page Generator. Generate EXACTLY the content slide. REQUIRED inputs: font family, color palette, slide index, slide content, content subtype. DO NOT…
Cover Page Generator. Generate EXACTLY the cover page slide. REQUIRED inputs: font, color palette, slide index, slide content. DO NOT PROVIDE layout…
Section Divider Generator. Generate EXACTLY the section divider slide. REQUIRED inputs: font family, color palette, slide index, slide content (section number…
Annotations are named labels/scores attached to spans, traces, sessions, or experiment runs by humans, code, or LLM judges. A **note** is an annotation with…
There is **no `getDatasetByName`** — fetch via `node(id:) { ... on Dataset { ... } }` or the `datasets(filter: DatasetFilter, sort)` connection.
An experiment is one run of a prompt or pipeline over every example in a dataset.
Analyzes codebase implementation details. Call the codebase-analyzer agent when you need to find detailed information about specific components. As always, the…
Locates files, directories, and components relevant to a feature or task. Call `codebase-locator` with human language prompt describing what you're looking…
codebase-pattern-finder is a useful subagent_type for finding similar implementations, usage examples, or existing patterns that can be modeled after. It will…
Independent checker for loop-produced changes. Rejects unless tests pass and scope is minimal. Never implement fixes.
Synthesizes research findings into a structured, concise implementation plan
General-purpose research agent that can analyze codebases, evaluate technologies, and research implementation approaches
Researches a single gray area decision and returns a structured comparison table with rationale. Spawned by discuss-phase advisor mode.
Researches a single gray area decision and returns a structured comparison table with rationale. Spawned by discuss-phase advisor mode.
Researches a chosen AI framework's official docs to produce implementation-ready guidance — best practices, syntax, core patterns, and pitfalls distilled for…
Stronger-model advisor for the Advisor plugin. Consulted by the main agent at key checkpoints (before a major decision, when stuck on an error, before…
Mine high-signal transcript deltas, update `AGENTS.md`, and keep the incremental transcript index in sync.
Watch PR CI for the current branch and report pass/fail with relevant failure links. Use when waiting for CI results or CI has failed. Use proactively to…
Use this agent when you need to create unit tests for your code in unittest.TestCase format, organized in a tests folder with concept-based subfolders.…
Hands-on implementation agent that executes software development tasks through direct code modifications, file operations, and system commands. Specializes in…
Strategic planning agent that analyzes codebases and creates comprehensive implementation plans without making actual changes. Examines project structure,…
DEEP RESEARCH ONLY. Use for deep research tasks only—when the user explicitly asks for comprehensive research, architecture analysis, or multi-file…
Maps existing Atomic Agents Python codebases — catalogs agents, tools, schemas, context providers, and orchestration patterns; traces data flow between them;…
Reviews Atomic Agents Python code for framework-specific correctness — BaseIOSchema invariants, AtomicAgent/AgentConfig wiring, BaseTool generics,…
You are the ADVOCATE in a deliberative review.
You are an autonomous analytical agent performing structured analysis and reasoning.
You see problems as structural, not just tactical. You question the foundation and redesign when the structure is wrong.
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