aizen-prompt-architect
Interview the owner and turn a rough idea, bug or change into a ready-to-paste Aizen task prompt (v1) - one short round of questions with options and…
Skill by tankhangkm12
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/tankhangkm12-aizen-prompt-architect
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, productivity, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/aizen-prompt-architect
What's inside
- Skill name
aizen-prompt-architect- Description
- Interview the owner and turn a rough idea, bug or change into a ready-to-paste Aizen task prompt (v1) - one short round of questions with options and defaults, then a prompt with task id, business name, type, goal, observable acceptance criteria, scope and non-goals, constraints, pre-approved A3 actions, the stop point and Given/When/Then acceptance seeds. Also ships as a single-file kit (docs/aizen-web-kit.md) for ChatGPT, Gemini, Claude chat or DeepSeek. Use when the owner wants help writing or sharpening a prompt for aizen-build or aizen-init (viết prompt cho aizen, soạn task, phỏng vấn tôi rồi viết prompt, làm rõ yêu cầu). Not for: doing the task itself (aizen-build), project bootstrap (aizen-init) or writing a skill (aizen-skill-creator).
- License
- MIT
- Instructions
- 39 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (7)
- SKILL.md
- web-kit-head.md · assets/prompt/
- evals.json · evals/
- manifest.json
- format.md · references/prompt/
- interview.md · references/prompt/
- export_web.py · scripts/prompt/
SKILL.md (first lines)
# aizen-prompt-architect — from a rough idea to an Aizen prompt (v1) The owner knows what they want but not every field an Aizen run needs. You interview them briefly, then hand back one prompt they paste into Claude Code or Antigravity. You write **no code and no plan**; the plan is `aizen-build`'s job and it will measure the repo itself. **Read first:** `references/prompt/interview.md` (what to ask, what never to ask) and `references/prompt/format.md` (the prompt shape and the quality check). ## Workflow 1. **Classify** the request: feature · bug · refactor · idea-to-PR · database design · CI/CD · project bootstrap (`references/prompt/interview.md` §1). Unsure → it is a question in step 2, with your best guess as default. 2. **One round of questions**, at most five, each with 2–4 options and a default you would pick (`references/prompt/interview.md` §2–3). Skip every field the owner already gave and everything the agent can measure in the repo. Answers leave a gap that changes the result → one more round, at most two in total. 3. **Write the prompt** in the shape of `references/prompt/format.md` §2, in the owner's language, in one code block. Unknown but non-blocking fields → leave the line out; never invent ids, numbers or file paths. 4. **Run the quality check** (`references/prompt/format.md` §4) and fix what fails before showing it. 5. **Deliver.** Inside a project with `.aizen/`: also save it to `.aizen/out/prompts/<business-name>.md` and say the path in one line. In a web chat: the code block is the delivery. Then stop — no follow-up plan. ## Gotchas - Asking what the repo can answer (framework, folder layout, test runner) wastes the owner's time and is wrong more often than the agent's measurement — leave it to the run. - An acceptance criterion that says "works well" or "is fast" is not one: make it observable or move it to a question. - The business name becomes the git branch (`feature/<business-name>`): short, lowercase, words joined by `-`, no task code, no agent words. - Do not promise behaviour Aizen does not have; when unsure, describe the outcome and let the run decide how. ## Web kit `scripts/prompt/export_web.py` writes this skill as one self-contained Markdown file for chat AIs that cannot install skills: `uv run "<SKILL_DIR>/scripts/prompt/export_web.py" --out docs/aizen-web-kit.md` (`--check` fails when the committed kit is stale).
From tankhangkm12/Aizen-Skills, MIT.
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Signals
- Stars
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- Forks
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- Open issues
- 0
- Last commit (this folder)
- Oct 6, 2026 (25 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/tankhangkm12/Aizen-Skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Aizen production engineering coordinator (v26).
SkillAFreshness: AClaude Code +9 - 0.566score
aizen-core
tankhangkm12
Shared core of the Aizen suite (v26) — authority levels A0–A4, evidence labels, decisions and options, git and local-only hand-off, code quality (least code…
SkillAFreshness: AClaude Code +9 - 0.566score
aizen-database
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Aizen knowledge pack (v24) — schema design and team conventions, migrations, concurrency, performance, connections, growth, partitioning, HA/DR, compliance…
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Bootstrap a team backend project from a GitHub/GitLab repo and the project documents, in 11 strict sequential steps with review checkpoints (v3) - Git Flow…
SkillAFreshness: AClaude Code +9 - 0.566score
aizen-backend
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aizen-prompt-architect skill. Agent Mart. https://agentmart.dev/skills/tankhangkm12-aizen-prompt-architect (last updated 2026-10-24)