--- name: brain-to-docs description: "Interview the user to turn project vision and decisions into README and ADR documentation." category: productivity risk: critical source: community source_repo: davidondrej/skills source_type: community date_added: "2026-07-07" author: davidondrej tags: [documentation, adr, planning] tools: [claude, codex] license: "MIT" license_source: "https://github.com/davidondrej/skills/blob/main/LICENSE" --- # brain-to-docs ## When to Use - Use when the user wants to extract project vision, decisions, or preferences into durable docs. - Use when README and ADRs should be built through a back-and-forth interview. The whole purpose: extract as much of the user's taste, judgment, knowledge, vision, preferences, and decisions as possible into text — saved as clear, concise markdown docs for the project. README holds the vision; `docs/adr/` holds the decisions. ## The loop 1. **Check docs first, every time.** Read `docs/adr/` (and `README.md`) before doing anything — other agents and people add/edit ADRs constantly. 2. **Ask a small set of focused questions** through the host's supported question interface or plain text — default 2–3 unless the user asks for a different number. Make them high-variety: a wide, creative spectrum of unique angles, not all the same type (e.g. not all "tech stack" or all "product" or all "monetization"). Exception: if the user asks for a specific focus area, follow it. The user answers whichever they find most useful. 3. **Integrate confirmed answers into the authorized docs.** Preserve unanswered questions and distinguish tentative ideas from accepted decisions. You decide whether it updates `README.md` or becomes a new ADR — whatever makes sense. 4. Repeat until the user says "we're done" (or similar). ## Rules - All answers & responses during this "brain to docs" process must be VERY CONCISE, all sentences should be SHORT, and everything should be written in the user's requested language. - ADRs: short, numbered `NNNN-slug.md`, Status + Context + Decision + Consequences. - README: preserve existing installation, usage, and contributor sections. Add vision where it fits; detailed decisions go in ADRs. - Don't challenge the user's thinking unless they ask, or they're making a severe mistake. ## Example **User request:** > Extract project vision, decisions, or preferences into durable docs. ## Limitations - Adapted from `davidondrej/skills`; verify local paths, tools, credentials, and agent features before acting. - For commands, remote access, scheduling, browser automation, or file-changing workflows, get explicit user approval and confirm the target environment first. --- Source attribution: davidondrej/skills contributors, via Agentic Awesome Skills Original project: https://github.com/davidondrej/skills License: MIT + CC-BY-4.0 License information: https://creativecommons.org/licenses/by/4.0/ Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 David Ondrej Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: davidondrej/skills contributors, via Agentic Awesome Skills Original project: https://github.com/davidondrej/skills Attribution basis: Recorded upstream repository Fields of work: Content & Media Roles: Technical Writer Specialties: Specialty not specified Tools: Tool not specified Country applicability: Country not specified Classification basis: Dave AI task classification from package title, description, and declared metadata Instruction SHA-256: af52413c103bce27c1d70f0e375e4f65ab08f4f6cc37a5f8faa92e39e618e296 Metadata reviewed: 2026-10-27 This metadata supersedes earlier Mega AI Hub catalog attribution. Original instruction and supporting files are preserved.