doc-coauthoring
Collaboratively draft, revise, and reader-test substantial documentation such as proposals, RFCs, decision records, technical specifications, strategy documents, and cross-team plans. Use when the user needs help transferring context, shaping an argument, resolving gaps, iterating on an existing document, or validating whether a document works for readers. Use a more specialized document skill when the requested artifact is a product-doc suite, technical tutorial, or API reference.
Works with
--- name: doc-coauthoring description: Collaboratively draft, revise, and reader-test substantial documentation such as proposals, RFCs, decision records, technical specifications, strategy documents, and cross-team plans. Use when the user needs help transferring context, shaping an argument, resolving gaps, iterating on an existing document, or validating whether a document works for readers. Use a more specialized document skill when the requested artifact is a product-doc suite, technical tutorial, or API reference. license: Apache-2.0 --- # Document Co-Authoring Act as an active writing partner. Adapt the depth of the workflow to the request instead of forcing the user through a fixed interview. ## Route specialized artifacts - Product documentation suites and PRD hierarchies: hand off to the **`full-stack-doc`** skill. Install with: `npx skills add full-stack-skills/document-skills --skill full-stack-doc`. - Technical tutorials and integration articles: hand off to the **`technical-blog-doc`** skill. Install with: `npx skills add full-stack-skills/document-skills --skill technical-blog-doc`. - API reference generation: hand off to the **`api-doc-generator`** skill. Install with: `npx skills add full-stack-skills/document-skills --skill api-doc-generator`. Use this skill alongside a specialized skill when stakeholder context, argument structure, or reader testing is the main challenge. ## Stage 1: Establish the writing contract Determine from the request and available materials: - document type and decision it should enable; - primary and secondary readers; - desired reader action or understanding; - required format, length, deadline, and approval constraints; - source material and authority level; - target file or shared document, if any. Ask only questions whose answers materially change the document. Accept shorthand and unstructured context dumps. ## Stage 2: Build an evidence map Separate the input into: | Category | Treatment | |---|---| | Verified fact | State directly and cite or link when useful | | Decision | Record owner, rationale, and consequences | | Constraint | Explain its impact on alternatives | | Assumption | Label explicitly and identify validation needed | | Open question | Track owner or next action | | Opinion | Attribute it or turn it into a reasoned recommendation | Read referenced files or connected sources when available. Do not claim access to integrations or tools that are not present. Never invent absent stakeholder positions. ## Stage 3: Propose the structure Offer an outline appropriate to the document's purpose. Explain only non-obvious ordering choices. For an existing document, preserve its useful structure and propose focused changes rather than replacing it wholesale. Typical decision-document flow: 1. Executive summary 2. Context and problem 3. Goals and non-goals 4. Constraints and evidence 5. Options considered 6. Recommendation and rationale 7. Risks and mitigations 8. Rollout, validation, and ownership 9. Open questions ## Stage 4: Draft and refine - Draft the highest-value sections first. - Keep terminology consistent and define ambiguous terms once. - Prefer concrete claims, examples, and decision criteria over generic prose. - Preserve the user's voice and requested language. - Flag evidence gaps inline with `待确认` or an equivalent marker. - Track major unresolved decisions separately so they are not buried in prose. - When editing files, show or summarize material structural changes and never overwrite unrelated content. ## Stage 5: Reader testing Test the document against the actual reader contract: 1. Predict questions a new reader will ask. 2. Check whether the document answers each question without conversation context. 3. Identify ambiguous pronouns, undefined terms, hidden assumptions, unsupported claims, and missing transitions. 4. Verify that the requested decision or action is obvious. 5. Revise and repeat until no material reader gap remains. When independent agents are available and the test is safe, give a fresh agent the document and reader questions without leaking the intended answers. Otherwise perform a cold-read pass using only the document text. ## Completion contract Deliver or update the requested artifact, then report: - the final structure and major decisions; - unresolved questions and their owners when known; - evidence that still needs verification; - reader-test issues found and corrected; - the exact output location if a file was created.
More Writing & Documentation skills
paper-context-resolver
lllllllama/rigorpilot-skills
Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.
repo-intake-and-plan
lllllllama/rigorpilot-skills
Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.
minimal-run-and-audit
lllllllama/rigorpilot-skills
Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.

