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/propose

Design a concrete technical proposal with evidence and tradeoffs when a decision needs design. No implementation or automatic reviewer.

From plugin
arsenal
2311 skills4 agents

Claude Code

$ npx -y skills add mirkobozzetto/arsenal --skill propose --agent claude-code

SKILL.md

propose.SKILL.md
name: propose
description: Design a concrete technical proposal with evidence and tradeoffs when a decision needs design. No implementation or automatic reviewer.
argument-hint: "<question> [--short|--full] [--auto] [--scope path] [--no-review] [--out dir] [--html]"

Propose

Gather only the context needed to answer the design question. Prefer the smallest sufficient format: short for a bounded reversible choice, standard for one system, full for a genuine cross-system design. No format interview when the request already determines the appropriate size.

Use references/proposal-template.md for stable section numbers and artifact shape. Write problem, real alternatives (including status quo when relevant), tradeoffs, design, risks, recommendation and runnable implementation tasks. Do not manufacture alternatives, diagrams, metrics or verification layers to fill a template. Research only unresolved external questions.

Interview

Without --auto, interview the user before drafting: problem, scope, goals/non-goals, alternatives direction, design choices. One question per message, in plain text, then wait for the answer. Draw questions from references/interview-questions.md; skip one only when the request already answers it. Never infer an answer the user can give. Under --auto, infer from code and the request and ask only about a blocking decision.

Review the draft yourself. An independent review is optional and requires explicit user consent, never merely omission of --no-review. Retain supported findings only. Leave status Draft or Review until the user explicitly accepts the proposal; writing it is not implementation approval.

Keep the existing docs/proposals/<id>-<slug>/PROPOSAL.md layout and links to a source brief. Do not supersede that brief until the design is accepted. On acceptance, record the Git `base` and `branch` in the frontmatter (steps/step-09-finalize.md) so ship branches without asking again. Render via scripts/render.py only on --html or request. Do not launch ship, open a browser, create an index, or start another agent just to finish.

Arsenal handoff

When called by Arsenal, return the proposal, status and unresolved decisions to Arsenal. Do not launch ship yourself. Explicit user acceptance remains required before Arsenal can consume the proposal for implementation, even when the original request was to build the feature.

Verify external facts

Before stating an external fact (a version, an API, a price, a date, a regulation, the behaviour of a tool or library, a person or company), search first when the runtime offers web search: read the `websearch` skill and run one quick search, then cite the source. One search per fact; `--deep` only on request. Without web search, mark the claim unverified. Facts visible in the repository or the request need no search.

Execution policy

Work solo. Ask before any subagent or reviewer, even in auto mode. Explain the independent scope and expected benefit first. No hidden advisor, nested delegation, model retuning, repeated successful checks, or progress spam. Stop when the requested result is delivered. User stops and scope changes override pending steps.

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@mirkobozzetto
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Portable workflow skills and controlled runtime for Pi, OMP, Codex, and Claude Code

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Questions about propose.

Which coding agents can use propose?
propose installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.