Claude Skills by doodledood

Iteratively auto-optimize a prompt until no issues remain. Uses prompt-reviewer in a loop, asks user for ambiguities, applies fixes via prompt-engineering skill. Runs until converged.

Harden /define task guidance files for one-shot quality. Iterates: orthogonality gap analysis, user-approved additions, prompt review, fix, converge. Use when a task file needs comprehensive coverage or "harden task file".

Analyze Claude Code sessions to learn what went right/wrong and suggest high-confidence improvements to skills. Use when asked to analyze a session, learn from a session, or review workflow effectiveness.

Iteratively optimizes prompts for token efficiency by maximizing information density - reduces verbosity, removes redundancy, tightens phrasing while preserving semantic content. Use when asked to compress, shorten, reduce tokens, tighten, maximize density, increase information density, or make a prompt more concise.

Review and analyze LLM prompts against prompt-engineering principles. Provides detailed assessment without modifying files.

Sync the prompt-engineering plugin from a local clone of claude-code-plugins into .claude/ so the repo is self-contained for isolated/web environments. Copies agents/skills, removes only previously-synced items that disappeared upstream. Other content in .claude/ is left alone. Use when asked to sync claude-code-plugins, pull prompt-engineering, refresh prompt-engineering plugin.

Generate multi-CLI distribution packages from the Claude Code plugin. Converts skills, agents, and hooks for OpenCode and Codex CLI under dist/. Run after changing plugin components to keep distributions in sync.

Analyzes the current project structure and tech stack. Use when asked to explore, understand, or summarize a project. Trigger terms: project overview, analyze codebase, what is this project.

Synthesize Architecture Decision Records from session transcripts. Extracts decisions via multi-agent pipeline and writes MADR files to a specified directory. Use after completing a /define or /do session to capture architectural decisions as durable records.

Produce a self-contained context payload that lets a fresh agent continue without re-deriving what this session established. Use for cross-boundary transfer such as switching tools, starting a clean session, or handing off to another agent, and for DIY sub-agent flows where a focused side-session returns context to the parent.

Create, update, review, or discuss an LLM prompt — system prompt, skill, or agent. State the goal, trust the model, add only what closes a real gap in natural behavior. Use when writing or improving prompts, discussing a skill or agent, diagnosing prompt failures, or when the user says a prompt needs work.

Autonomous PR review that posts high-signal, human-voiced comments under your account. Use when reviewing someone else''s PR or your own manifest-driven PR, when you want a precision-tuned review you can walk away from, or when the user asks to review a PR, post a PR review, autoreview, loop review, or watch a PR.

Walk through a PR or large diff together — your own or someone else''s — one sub-changeset at a time and one review topic at a time within it. Use when reviewing a substantive PR collaboratively, walking a large refactor, or when the user asks to walk a PR, walk a diff, explain a PR, review collaboratively, or review a change together. Optional --canvas runs the walk in a live HTML artifact.

End-to-end autonomous execution: figure-out → define → do, chained without manual approval gates. Use when you want to define and execute without intervention during planning, when the user asks for autonomous or end-to-end work, says just build it, or asks to tend or babysit a PR.

Manifest builder. Turns shared understanding into a verifiable Manifest with Deliverables, Acceptance Criteria, Global Invariants, and Approach. Use when planning features, scoping refactors, debugging complex issues, or when the user asks to define, scope, plan, spec out, make a manifest, or break down a task.

Manifest executor. Works through Deliverables verifying every Acceptance Criterion and Global Invariant. Use when executing a manifest, running a plan, implementing a defined task, or when the user asks to run, execute, implement, or ship a manifest-backed plan.

Completion marker for the /do workflow. Outputs a plain-prose summary of what was built. Called by /do after every Acceptance Criterion and Global Invariant verifies PASS, when the manifest is complete, all criteria pass, or the workflow needs to wrap up with a completion summary.

Structured escalation when /do hits an unrecoverable blocker. Surfaces what was tried, why it failed, and what the user can decide. Called by /do when work is blocked, cannot proceed, hits an unrecoverable failure, needs a user decision, or gets stuck.

Drive a multi-party deliberation in a Slack channel or thread. The agent is an involved orchestrator — presses rigorously, brings evidence, names trade-offs, surfaces disagreements, advances when answers cohere; owner-by-Slack-handle overrules. Use when the people involved cannot all sit in one chat, when deliberation has to happen in Slack, or when the user asks to figure out with the team, press a group asynchronously, or get the team aligned.

Figure things out together — any topic, problem, or idea. Presses relentlessly until shared understanding is reached. Use when you need to understand before acting, when figuring it out is the goal, or when the user asks to think through a decision, dig deeper, press an assumption, investigate why something is happening, or work through a problem.