tt-a1i

Grill me about specs for the workflows I want to build, within this workspace.

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Execute approved, bounded work in an isolated implementation conversation and return a structured evidence receipt. Use with inherited history or an explicitly identified source; no particular planning, testing, or review skill is required.

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Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

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Writing, exploit; assemble raw material into a journey of beats, grounding each term before a beat leans on it.

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Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.

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Compact the current conversation into a portable handoff document, with an optional live clarification path for compatible Codex tasks.

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Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

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Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

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A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.

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Turn approved planning evidence or partially completed work into a portable, verifiable execution goal. Use when work needs to cross sessions, people, agents, or harnesses; no other skill or tracker setup is required.

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Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.

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Hand the current conversation off to a fresh background agent that picks up the work immediately.

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Writing, explore: mine raw fragments, no structure yet.

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Ask which skill or flow fits your situation. A router over the skills in this repo.

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Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

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Teach the user a new skill or concept, within this workspace.

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Writing, exploit: shape raw material into an article, paragraph by paragraph.

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Scan a codebase for deepening opportunities, present them as a report — HTML on request — then grill through whichever one you pick.

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Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

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Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.

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Orchestrate approved, bounded work through a same-directory Codex App fork: create and name the execution task, ask it to run spec-executor, route decisions through Codex Task Messenger, validate the returned receipt, and archive a completed child. The source may come from any planning workflow. Requires Codex App task tools and codex-task-messenger.

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Craft verifiable, tight goal prompts for AI coding agents (Claude Code /goal, Codex Automations, Pi), either from a standalone task interview or from an already-approved to-goal handoff. Use when the user says "给我一个 goal 提示词", "帮我写个 goal", "设置一个自动化任务", "我想让 agent 自动做 X", or asks to turn a task into a self-running loop. Ensures every goal has a checkable completion criterion so the agent knows when it's done.

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Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.

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Use when you need to resolve an in-progress git merge/rebase conflict.

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