Language: English | 繁體中文
TeaPrompt is a reflective prompt and workflow library for AI-assisted engineering work.
Core principle:
Doing the right thing > doing things right.
TeaPrompt helps humans and host agents choose the right amount of rigor for a task, record why decisions were made, and verify outcomes with evidence — using composable prompt layers and nine workflow skills as natural-language harness policy, without operating its own agent runtime.
Full library docs: reflective-prompt-library/README.md.
- Contributing: CONTRIBUTING.md — quality gates, routing maintenance (R8–R12),
make all - Panel record: multi-agent-panel-consensus — six-lens Socratic consensus (Rounds 1–101)
- Operator playbook: GLOSSARY.md — Governance Maintenance Playbook
The repository contains:
reflective-prompt-library/: reusable Markdown prompts for thinking, planning, implementation, review, research, risk handling, and context handoff.reflective-prompt-library/skills/: conciseSKILL.mdworkflow wrappers that turn the prompt library into practical agent workflows.reflective-prompt-library/plans/: design notes and follow-up plans for code tooling or workflow automation.reflective-prompt-library/SKILL_INSTALLATION.md: install instructions for Claude Code, Codex, Cursor, Antigravity CLI / IDE, and OpenCode.reflective-prompt-library/METHODOLOGY_MAP.md: classification map for choosing the right strictness level.reflective-prompt-library/LANGUAGE_POLICY.md: language policy for English operational docs and localized prompt sources.
Use the prompt library directly:
reflective-prompt-library/README.md
Or copy a workflow skill into a compatible skills directory:
.claude/skills/<skill-name>/SKILL.md
~/.codex/skills/<skill-name>/SKILL.md
.agents/skills/<skill-name>/SKILL.md
For host-specific paths, see Skill Installation Guide.
For repository method boundaries, see Methodology Map. For language conventions, see Language Policy.
Recommended starting points:
reflective-dispatch: choose the smallest useful workflow.reflective-brief: clarify goals, assumptions, scope, acceptance criteria, and falsifiability.reflective-spec-plan: write specs, usage-first docs, and task slices.reflective-implement: implement with tests, traceability, and verification.reflective-review: review code, plans, specs, and AI outputs.reflective-risk: gate high-risk work before execution.
TeaPrompt keeps prompts and workflows separate:
- Prompts provide nuance, judgment frames, and reusable wording.
- Skills provide repeatable execution shape — they are prompt-level workflow descriptors interpreted by the user's agent runtime, not a multi-agent orchestration layer.
- Plans capture future code or workflow automation without overengineering the current library.
The workflow layer intentionally uses a small number of broad, composable skills instead of one skill per prompt.
MIT. See LICENSE.