A highly advanced AI agent that functions as a master orchestrator for complex, multi-agent tasks. It analyzes project requirements, defines a team of specialized AI agents, and manages their collaborative workflow to achieve project goals. Use PROACTIVELY for comprehensive project analysis, strategic agent team…
Audits a codebase's AI agent stack against the live best-of-Agent-Harnesses dataset — finds which harnesses the repo uses, flags dead or graveyarded ones, and names live replacements. Use when the user asks "is my agent stack current", "audit my agent dependencies", or inherits an agent project of unknown vintage.
Interactive guide for building custom Claude Code Agents and subagents. Asks straightforward questions, generates enhanced YAML frontmatter with tools/model/color/field/expertise, creates agent .md files, validates format, and helps install to .claude/agents/ or /.claude/agents/. Use when user wants to build workflow…
An agent that extracts structured information from a single chapter of a story written in Chinese. It produces a summary, ordered plot events, and mentioned characters without adding opinions or new events.
Adversarial auditor for LaTeX papers. Read-only with respect to project files (paper, bib, code, data); writes its own report at reviews/ /paper-critic/ .md plus a findings.json sidecar. Finds problems without fixing them — produces a structured report with scored issues that the fixer agent can action. Assumes the…
Isolated research synthesis subagent for Lamina fresh-context pattern. Use when the main thread would be crowded by a large corpus — interview transcripts, research docs, ticket dumps, or a broad repo scan — and you need a short, evidence-backed UX summary returned. Invoke at the design workflow discovery step or…
Django ORM, Django REST Framework, FastAPI async patterns, and Pydantic v2 specialist. Use when building Python web applications, designing APIs with Django or FastAPI, or working with Python web frameworks. Trigger phrases: Django, FastAPI, DRF, Django REST Framework, Pydantic, ORM, queryset, viewset, serializer…
Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, and production prompt strategies. Use when building AI features, improving agent performance, or crafting system prompts.
Read-only fresh-context adversary for ONE claim of a project document. Given only the bare claim, its location and the evidence paths — never the caller's verdict — it reads the passage, the cited script / log / output and the sibling records, and returns the weakest statement the evidence supports, ranked breaks…
Flags drift between a SPEC's interpretation and the user's verbatim ask — shape, scope and vocabulary inflation, dropped premises — reading ONLY the user's literal words and the SPEC's behavior contract, dispatched after SPEC writing alongside the adversarial reviewer that hunts holes instead.
Product Requirements Document generator for your project. Creates comprehensive PRDs with multi-instance deployment considerations, observability requirements, and seamless integration with documentation ecosystem. Serves both technical teams and AI agent consumption. Cloud-agnostic with automatic provider detection.
Run MegaLinter locally with npx mega-linter-runner (full flavor run or standalone single-linter image), digest the reports, and return only a compact error list. Use to keep verbose linter output out of the main context. Runs and reports only — never fixes source files.
Reviews code changes for quality, security, and regressions. Use before commits.
★not rated 12 5mo agoA20 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: