technical-documentation
Skill1 starsChanged 13 days agoMITView on GitHub
Create and review technical documentation, including READMEs, agent-facing instructions, API references, and CLI help. Use when documentation must help someone complete real work. Do not use for marketing copy, brand messaging, or long-form editorial content.
33 other projects use a version of this.
Adopted by
Most recently taken up by
- hamzzaqureshi/gravidextheir own version, first seen Nov 8, 2026
- Djarvur/go-ultimatetheir own version, first seen Nov 1, 2026
- JPeetz/agent-skillstheir own version, first seen Oct 28, 2026
- shanselman/openclaw-windows-hubtheir own version, first seen Oct 17, 2026
- OpenClawAndroid/openclaw-android-assistanttheir own version, first seen Oct 17, 2026
- openclaw/openclaw-windows-nodetheir own version, first seen Oct 17, 2026
Used with
Projects with it also use clawhub-ban-appeals, clawhub-clawscan and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
openclawSkillclawhub-ban-appeals
Review ClawHub account-ban appeals, distinguish bans from moderation holds or blocked releases, and prepare an evidence-backed moderation decision. Route validated scanner inaccuracies to clawhub-clawscan.
Also in 3 projects that use this
openclawSkillclawhub-clawscan
Investigate ClawScan health alerts, diagnose scanner or ClawHub integration failures, prepare operational repairs, and route validated verdict inaccuracies upstream. Account ban appeals use clawhub-ban-appeals.
Also in 3 projects that use this
FabienGreardSkillconvex-acquire-domain
Find and buy a domain for the current Convex app through Convex, then bind it (labs; spend action).
Also in 3 projects that use this
- +9 more from openclaw
Other versions33 projects use a version of this.
Word for word · 1
- magnus919/agent-skills★ 172100% same
Edited · 0
None found.
Wrote their own version · 32
- moltbot/clawdbot★ 394ksame name
- steipete/warelay★ 394ksame name
- steipete/clawdis★ 394ksame name
- moltbot/moltbot★ 394ksame name
- clawdbot/clawdbot★ 394ksame name
- openclaw/openclaw★ 394ksame name
- molt-bot/clawdbot★ 391ksame name
- openclaw/clawhub★ 9.6ksame name
- clawdbot/clawdhub★ 9.5ksame name
- moltbot/molthub★ 9.5ksame name
22 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository95 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/AGENTS.mdAGENTS.md
- agent-architectureSkill
- agentic-evalSkill
- agent-owasp-complianceSkill
- agent-skill-stackSkill
- ai-readySkill
- ai-team-orchestrationSkill
- answer-me-with-htmlSkill
- anti-ui-slopSkill
- archifySkill
- autoresearchSkill
- batch-script-progressSkill
- cli-creatorSkill
- codebase-designSkill
- code-exemplars-blueprint-generatorSkill
- copilot-instructions-blueprint-generatorSkill
- create-agentsmdSkill
- create-architectural-decision-recordSkill
- create-github-action-workflow-specificationSkill
- create-github-issues-feature-from-implementation-planSkill
- create-readmeSkill
- create-specificationSkill
- create-technical-spikeSkill
- create-tldr-pageSkill
- docs-sync-auditSkill
- folder-structure-blueprint-generatorSkill
- gh-fix-ciSkill
- github-actions-hardeningSkill
- github-repo-careSkill
- impeccableSkill
- launchd-automationSkill
- mcp-security-auditSkill
- notion-cliSkill
- opencode-model-routerSkill
- playwright-cliSkill
- python-pypi-package-builderSkill
- refactorSkill
- simple-englishSkill
- swiftui-expert-skillSkill
- workshop-driverSkill
- xerj-hubSkill
- xerjSkill
- anti-ui-slopSkill
- autoresearchSkill
- batch-script-progressSkill
- calling-frontend-from-tauri-rustSkill
- calling-rust-from-tauri-frontendSkill
- cli-creatorSkill
- codebase-designSkill
- code-exemplars-blueprint-generatorSkill
- configuring-tauri-appsSkill
- configuring-tauri-capabilitiesSkill
- configuring-tauri-cspSkill
- configuring-tauri-permissionsSkill
- configuring-tauri-scopesSkill
- copilot-instructions-blueprint-generatorSkill
- create-agentsmdSkill
- create-architectural-decision-recordSkill
- create-github-action-workflow-specificationSkill
- The first 60 shown.
The file
Files
Technical Documentation Methodology
Technical documentation is the interface between a tool and its user. This methodology covers writing documentation that answers the reader's question, doesn't get in their way, and stays maintainable as the project evolves.
The Technical Writer's Domain
| You own | You don't own |
| API documentation — endpoint references, parameters, examples | Editorial and long-form narrative content — owned by the editorial function, outside this skill's scope |
| README authorship — project overview, quickstart, configuration | Brand messaging and marketing copy — that's the brand designer |
| CLI documentation — help text, usage patterns, exit codes | Code architecture decisions — that's the software-architecture-analysis |
| Agent-facing docs — AGENTS.md, skill documentation | Project roadmap and product vision — that's the product manager |
| Reference documentation — config files, troubleshooting, architecture | Performance optimization guidance — that's the systematic-debugging / SRE |
| Documentation site structure — IA, cross-referencing, search | Code quality and standards — that's the qa-methodology / QA engineer |
Reference Files
| Reference | When to load |
references/readme-patterns.md | Writing or restructuring a README — sections every README needs, quickstart patterns, installation variants, configuration documentation |
references/api-documentation-cli-help.md | Documenting APIs (endpoint structure, parameter conventions, example design, auth patterns, OpenAPI annotations) and designing CLI help text (usage line, flags, exit codes, subcommand hierarchy, man pages) |
references/agent-facing-docs.md | Writing AGENTS.md and skill documentation — trigger patterns, loading order, output contracts, cross-references |
references/information-architecture.md | Structuring a documentation site — progressive disclosure, cross-referencing, search optimization, maintenance strategy |
Related Skills
- documents — producing office-format deliverables (PDF, Word, Excel, PowerPoint) from documentation content; doc-site and markup conventions stay here.
Core Principles
Document the interface, not the implementation — Users need to know what a function does, what it expects, and what it returns. How it works internally is for the source code.
Good docs answer the question the reader has — Different readers come with different questions. Getting started? Reference? Troubleshooting? Structure docs to route each reader to their answer fast.
Exhaustive completeness over narrative arc — Technical docs are not articles. Readers skip to the part they need. Cover every parameter, every edge case, every error code. Don't skip the boring bits — those are the ones people need.
Every doc is a liability — Every page you write must be maintained. Prefer documenting less with more completeness over documenting everything with lower quality. Maintenance cost is proportional to surface area.
Show, don't just tell — Every concept needs a worked example. Every API endpoint needs a request and response. Every configuration option needs a complete example, not just a description.
Portability
This skill is intentionally host-neutral. Use your agent's normal mechanisms to load the references, templates, and scripts listed here. Do not assume a particular profile system, task orchestrator, memory service, or response-handoff format.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

