Use this agent to interactively review every recommendation, rule, and checklist item inside a fractional-cto plugin's skills. The agent reads each skill, presents every recommendation to the user one by one, and the user approves, edits, or removes each one. Examples: Context: User wants to review the content of a…
Chain work across two independent agent processes that share no parent session. One agent passes a baton (a completion signal file) when done, optionally carrying a free-form payload; another waits for it, with a deadline, then starts its dependent task. Harness-agnostic protocol — each agent picks its own waiting…
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originalMIT
Research-backed, opinionated guidance for building cloud infrastructure that doesn't rot — multi-account governance, naming conventions, IaC organization, security, deployment pipelines, and operational hygiene, distilled from production experience across multiple cloud migrations.
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originalMIT
Structured deep research methodology for Claude Code — query decomposition, parallel web research with source verification, hallucination prevention, and synthesis into well-sourced documents.
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originalMIT
Zero-tolerance code pedantry — naming precision, casing law, structural symmetry, import discipline, and the obsessive details that separate clean code from correct code.
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originalMIT
Manage Claude Code's plan-mode artifacts, author multi-phase master planning documents, walk through open questions from any source (master plan, scope report, or the conversation itself), and synthesize dense progress entries to markdown / Linear / GitHub. Provides /plan-context (pre-load with optional ticket fetch).
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originalMIT
Research-backed best practices for building modern, production-grade Python packages — project structure, pyproject.toml, typing, testing, CI/CD, documentation, versioning, API design, packaging, security, and developer experience.
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originalMIT
Transforms Claude Code conversation transcripts into polished, first-person blog posts through an interactive 5-stage pipeline — parse, triage, outline, draft, polish — with human editorial gates at every stage.
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originalMIT
Adversarial plan review using red-team/blue-team agents -- generates what-if questions and grounds answers in plan artifacts with configurable tool scope.
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originalMIT
Structured thinking methods that counteract LLM reasoning biases during problem exploration — first principles, inversion, constraint manipulation, perspective forcing, analogy search, and more, with user-gated parallel subagent exploration for deep dives.
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originalMIT
Research-backed visual design principles for websites, presentations, documents, and any visual medium — grounded in VisAWI, Gestalt psychology, and empirical aesthetics research.
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originalMIT
MCP server for reading and editing HTML/Markdown tables in GitBook-synced documents. Runs locally from the tablestakes Python package.
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originalApache-2.0
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: