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Technical Writing

  • 353 installs
  • 40 repo stars
  • Updated August 4, 2026
  • akillness/oh-my-skills

technical-writing is an agent skill that drafts and refines READMEs, API references, architecture notes, and in-repo guides for developers who need accurate developer-facing documentation shipped with their code.

About

technical-writing is an agent skill from akillness/oh-my-skills that helps developers produce clear, accurate developer-facing documentation while implementing features. The skill guides drafting and refining README files, API reference sections, architecture notes, setup guides, and in-repo how-to documents so shipped code includes usable prose for the next engineer or API consumer. Developers reach for technical-writing when a feature is code-complete but docs are missing, outdated, or too terse for onboarding and integration. It supports the build-phase docs subphase and often continues into ship when release notes and changelog entries must match the final API surface.

  • Turns implementation context into clear prose
  • Covers README, API, and architecture docs
  • Keeps examples aligned with actual behavior
  • Supports consistent tone and structure
  • Reduces doc debt before release

Technical Writing by the numbers

  • 353 all-time installs (skills.sh)
  • Ranked #429 of 1,879 Documentation skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/akillness/oh-my-skills --skill technical-writing

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Listed on Skillselion
Installs353
repo stars40
Last updatedAugust 4, 2026
Repositoryakillness/oh-my-skills

How do you write API docs while shipping features?

Draft and refine READMEs, API references, architecture notes, and in-repo guides while implementing features so shipped code ships with clear, accurate developer-facing documentation.

Who is it for?

Developers implementing features who need README, API reference, and architecture docs written in the same PR as the code.

Skip if: Marketing blog posts or end-user help center articles with no developer API or repo context.

When should I use this skill?

A feature is implemented but README, API reference, or architecture documentation is missing, stale, or unclear.

What you get

README sections, API reference pages, architecture notes, and in-repo developer guides

  • README
  • API reference
  • architecture notes

Files

SKILL.mdMarkdownGitHub ↗

Technical Writing

Use this skill when the deliverable is internal technical documentation for builders and operators.

technical-writing is the documentation-cluster anchor for:

  • technical specs
  • architecture docs
  • ADRs / decision records
  • runbooks and incident procedures
  • rollout / rollback / migration guides
  • developer-facing implementation or maintenance guides

Read these support docs before choosing the mode or boundary:

  • references/document-modes-and-boundaries.md
  • references/mode-structures.md
  • references/quality-checklists.md
  • references/docs-as-code-and-maintenance.md

When to use this skill

  • A team needs a technical spec before implementation starts
  • An engineer needs an architecture document or ADR that records trade-offs and decisions
  • Ops needs a runbook, rollback guide, or incident response procedure
  • A migration or rollout needs a durable written path with validation and rollback notes
  • A developer-facing internal guide needs to explain how a system works and how to work on it safely

When not to use this skill

  • Published API docs, SDK docs, OpenAPI reference, developer portal contentapi-documentation
  • End-user onboarding, screenshots, tutorials, FAQs, help-center flowsuser-guide-writing
  • Release notes, `CHANGELOG.md`, migration announcements for customers/devschangelog-maintenance
  • Slides, pitch decks, roadmap presentations, architecture demospresentation-builder
  • Product positioning, launch copy, GTM messaging, marketing automationmarketing-automation
  • The main job is deciding the feature or API itself before writing the doctask-planning, api-design, or the relevant planning skill first

Instructions

Step 1: Classify one primary mode

Normalize the request into one primary mode before drafting.

technical_writing_mode:
  primary_mode: spec | architecture | adr | runbook | migration | internal-guide
  audience: engineers | operators | mixed | unknown
  source_of_truth: repo | incident-notes | existing-doc | mixed | unknown
  lifecycle_state: draft | review | rewrite | maintenance
  docs_surface: markdown-repo | docs-site | wiki | unknown
  review_need: decision-signoff | operational-accuracy | handoff-clarity | unknown

Use one primary mode per run:

  • spec → planned change, goals, constraints, design, rollout, rollback, open questions
  • architecture → system structure, boundaries, interfaces, trade-offs, failure modes
  • adr → one material decision with options and rationale
  • runbook → operate, diagnose, recover, escalate
  • migration → move from old to new safely with validation and rollback
  • internal-guide → implementation-facing explanation for maintainers

Step 2: Confirm audience and route-outs

Answer three questions before writing: 1. Who will act on this document? 2. What decision or action should it enable? 3. Which neighboring skills must stay out of scope?

Quick route-out table:

If the request sounds like...Use
Publish docs for an API, SDK, webhook, or developer portalapi-documentation
Write a tutorial, onboarding guide, or FAQuser-guide-writing
Summarize shipped changes or maintain CHANGELOG.mdchangelog-maintenance
Make slides for a launch, roadmap, or architecture reviewpresentation-builder
Write launch or product messagingmarketing-automation
Decide the API or feature design before writing docsapi-design, task-planning, or another planning skill

Step 3: Gather the minimum technical evidence

Do not draft from vibes alone. Pull the smallest credible evidence set first:

  • current behavior or architecture notes
  • interfaces, schemas, commands, or operational signals
  • rollout or operational constraints
  • known failure modes and recovery steps
  • unresolved questions or trade-offs

If evidence is missing, label assumptions explicitly instead of pretending the document is authoritative.

Step 4: Choose the smallest fitting structure

Use references/mode-structures.md and only keep the sections that fit the chosen mode.

Step 5: Apply mode-specific writing rules

  • Specs must separate goals from non-goals.
  • Architecture docs must explain boundaries and trade-offs, not every code path.
  • ADRs must capture one decision, not become a full design doc.
  • Runbooks must optimize for fast action under pressure.
  • Migration guides must foreground compatibility, validation, and rollback.
  • Internal guides must explain implementation reality, not customer education or marketing value props.

Step 6: Keep it docs-as-code friendly

Default to reviewable, repo-friendly writing:

  • stable headings
  • concise bullet lists where operators scan
  • explicit commands, paths, owners, and prerequisites
  • dated decisions and status for ADR-like docs
  • links to source-of-truth docs instead of duplicated narrative when possible

Step 7: Run the quality check

Before finalizing, verify: 1. The audience is named or obvious. 2. The document states what decision or action it enables. 3. Assumptions and unknowns are labeled. 4. Commands, interfaces, validation, rollback, or escalation are concrete where relevant. 5. Neighboring documentation skills are not being absorbed. 6. The title and section layout match the chosen mode.

Step 8: Return a brief or the finished artifact

Preferred summary shape before full drafting:

# Technical Writing Brief

## Mode
- Primary mode:
- Why it fits:
- Audience:

## Source material used
- Repo/docs/evidence:
- Assumptions / gaps:

## Draft structure
1. section
2. section
3. section

## Writing notes
- Key decisions / actions enabled:
- Risks / unknowns:
- Route-outs kept out of scope:

If the user already asked for the finished artifact, produce the chosen document directly with the matching structure above.

Examples

Example 1: Internal design doc before implementation

Input

Write a technical spec for moving our worker queue from Redis lists to Redis streams. Engineers need goals, constraints, rollout, and rollback before coding.

Good output direction

  • mode: spec
  • audience: engineers
  • include goals, non-goals, constraints, design, rollout, rollback, open questions
  • keep API portal publishing out of scope

Example 2: Architecture decision capture

Input

We chose Postgres logical replication over dual writes. Record the decision and alternatives in an ADR.

Good output direction

  • mode: adr
  • capture context, decision, alternatives, consequences, follow-up
  • keep the document short and decision-focused

Example 3: Incident runbook

Input

Write a runbook for when the payments worker backlog spikes and retries start timing out.

Good output direction

  • mode: runbook
  • include symptoms, immediate checks, operating steps, escalation, rollback / recovery
  • optimize for operator speed, not essay-style explanation

Example 4: Boundary with API docs

Input

Refresh our public webhook quickstart and auth troubleshooting page for external developers.

Good output direction

  • route to api-documentation
  • explain that the main job is published developer-facing API docs, not internal technical documentation

Best practices

1. Choose the document mode before writing the body. 2. Keep internal technical docs decision- and action-oriented. 3. Write only the sections the mode needs; do not force every template into every document. 4. Separate internal design / ops docs from API portals, user help, release notes, decks, and GTM copy. 5. Prefer docs-as-code structure: reviewable Markdown, stable headings, and source-linked facts. 6. Label assumptions and unresolved questions explicitly. 7. For runbooks and migrations, make rollback and escalation easy to find. 8. When the request changes audience, route out instead of stretching the internal-docs lane.

References

Related skills

How it compares

Use technical-writing for in-repo developer docs rather than SEO content or end-user marketing copy skills.

FAQ

What docs does technical-writing cover?

technical-writing drafts and refines README files, API references, architecture notes, setup guides, and in-repo how-to documents so developer-facing prose ships accurately alongside implemented features and endpoints.

When should I invoke technical-writing?

Invoke technical-writing during build when code is ready but README, API reference, or architecture documentation is missing or outdated, especially before opening a PR or tagging a release.

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