Agent skill

Developer Docs Technical Research

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Research product and feature facts for developer documentation by mapping source-of-truth owners, validating behavior hands-on, interviewing SMEs, and turning uncertainty into doc-ready notes.

MITAuto-check passedDevelopment

Install Developer Docs Technical Research

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill developer-docs-technical-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins developer-docs-technical-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/developer-docs-technical-research .claude/skills/developer-docs-technical-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
developer-docs-technical-research
GitHub stars
1.2k
Token cost
~841 tokens
SKILL.md length
325 words
Files
5 (incl. references)
Skills in repo
736
Repo updated
First seen
Licence
MIT

At a glance

Research product and feature facts for developer documentation by mapping source-of-truth owners, validating behavior hands-on, interviewing SMEs, and turning uncertainty into doc-ready notes.

  • Works in 6 steps: Load guidelines.md to choose the… → State the documentation question,… → Build a source map from code, product… → …
  • Feature specs are incomplete
  • SKILL.md covers Quick Start, Default Output, Contents and Core Posture
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Developer Docs Technical Research is an agent skill from hashgraph-online/awesome-codex-plugins. Research product and feature facts for developer documentation by mapping source-of-truth owners, validating behavior hands-on, interviewing SMEs, and turning uncertainty into doc-ready notes. Use when feature specs are incomplete, implementation details need user-facing meaning, SMEs disagree, or docs require evidence before planning, drafting, release notes, API docs, tutorials, scenarios, or troubleshooting content.

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `guidelines.md`, `references/core/knowledge.md` and `workflows/interview-doc-sources.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Development, covering Technical documentation, PRD writing and Changelog and release notes. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Feature specs are incomplete
  • Implementation details need user-facing meaning
  • Docs require evidence before planning
  • Troubleshooting content

Example prompts

  • “/developer-docs-technical-research”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Load guidelines.md to choose the smallest useful reference set.
  2. State the documentation question, audience, feature, release context, and risk.
  3. Build a source map from code, product surfaces, specs, tickets, SMEs, QA, support, and existing docs.
  4. Use workflows/research-feature-docs.md when feature behavior or user consequences are unclear.
  5. Use workflows/interview-doc-sources.md when the main work is extracting facts from SMEs.
  6. Return verified facts, assumptions, contradictions, source owners, and open questions.

What it can do on your machine

Read from SKILL.md and the folder at commit 16b4156. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • link.springer.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

Developer Docs Technical Research loads about 841 tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 325 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~114
When it runs · the whole SKILL.md, loaded when a task matches
~841
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 16b4156, republished under its MIT licence (© hashgraph-online). 325 words, ~841 tokens.

Download SKILL.mdSave it as .claude/skills/developer-docs-technical-research/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
developer-docs-technical-research
description
Research product and feature facts for developer documentation by mapping source-of-truth owners, validating behavior hands-on, interviewing SMEs, and turning uncertainty into doc-ready notes. Use when feature specs are incomplete, implementation details need user-facing meaning, SMEs disagree, or docs require evidence before planning, drafting, release notes, API docs, tutorials, scenarios, or troubleshooting content.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
Developer Docs Technical Research
metadata.category
Writing
metadata.tags
developer-docs,technical-writing,documentation,research,sme-interviews

Developer Docs Technical Research

Use this skill to investigate product behavior before planning or writing developer documentation. It turns specs, code, prototypes, tickets, SMEs, and hands-on tests into traceable research notes.

This skill is derived from paraphrased guidance in Christopher Gales and the Splunk Documentation Team's The Product Is Docs: Writing Technical Documentation in a Product Development Group, especially Chapter 13, "Research for Technical Writers," Chapter 16, "Technical Verification," Chapter 19, "Working with Engineers," and Chapter 22, "Working with Product Management." Do not copy book prose into user outputs. Source: https://link.springer.com/book/10.1007/978-1-4842-7217-6

Quick Start

  1. Load guidelines.md to choose the smallest useful reference set.
  2. State the documentation question, audience, feature, release context, and risk.
  3. Build a source map from code, product surfaces, specs, tickets, SMEs, QA, support, and existing docs.
  4. Use workflows/research-feature-docs.md when feature behavior or user consequences are unclear.
  5. Use workflows/interview-doc-sources.md when the main work is extracting facts from SMEs.
  6. Return verified facts, assumptions, contradictions, source owners, and open questions.

Default Output

When completing a documentation research pass, return:

  1. Research brief - doc question, audience, scope, and decision needed.
  2. Verified facts - behavior, limits, defaults, prerequisites, permissions, errors, and examples with source.
  3. User consequences - what readers can do, decide, risk, or misunderstand.
  4. Source map - authoritative owner or artifact for each important fact.
  5. Contradictions and gaps - unresolved disagreements, missing access, or untested behavior.
  6. Recommended docs action - plan, draft, defer, file product issue, or request review.

Contents

NeedStart Here
Understand technical research conceptsreferences/core/knowledge.md
Build a feature research planworkflows/research-feature-docs.md
Interview engineers, PMs, QA, support, or field teamsworkflows/interview-doc-sources.md
Route by task or symptomguidelines.md

Core Posture

  • Research user-facing consequences, not only implementation.
  • Verify directly when the product, API, CLI, UI, or environment is available.
  • Treat named owners and durable artifacts as the source of truth.
  • Keep uncertainty visible until it is resolved.
  • File product or UX defects when documentation would be forced to explain avoidable confusion.

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in plugins/LVTD-LLC/skills/skills/developer-docs-technical-research of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • guidelines.md
  • references/core/knowledge.md
  • workflows/interview-doc-sources.md
  • workflows/research-feature-docs.md

Open the folder on GitHubat commit 16b4156

Compare with similar skills

Developer Docs Technical Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Developer Docs Technical Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Developer Docs Technical Research this skillhashgraph-online/awesome-codex-plugins1.2k—~841Automated safety check: PassMIT
Simple Englishmoeru-ai/airi50k2 repos~4.6kAutomated safety check: PassMIT
Ccb GitHubSeemSeam/claude_codex_bridge3.5k—~4.9kAutomated safety check: PassCustom licence
Golang Documentationunxed/f42403 repos~3.5kAutomated safety check: PassMIT
Simple Englishropensci/ckanr1043 repos~2kAutomated safety check: PassMIT
Opik Documentation Patternscomet-ml/opik22k—~1.3kAutomated safety check: PassApache-2.0

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Categories

Questions about Developer Docs Technical Research

What does Developer Docs Technical Research do?

Research product and feature facts for developer documentation by mapping source-of-truth owners, validating behavior hands-on, interviewing SMEs, and turning uncertainty into doc-ready notes. Developer Docs Technical Research is an agent skill from hashgraph-online/awesome-codex-plugins. Research product and feature facts for developer documentation by mapping source-of-truth owners, validating behavior hands-on, interviewing SMEs, and turning uncertainty into doc-ready notes.

When should I use Developer Docs Technical Research?

Developer Docs Technical Research fits situations like: feature specs are incomplete; implementation details need user-facing meaning; docs require evidence before planning; troubleshooting content.

How do I install Developer Docs Technical Research in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill developer-docs-technical-research -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/developer-docs-technical-research in hashgraph-online/awesome-codex-plugins) into .claude/skills/developer-docs-technical-research in your project. Claude Code loads it when a task matches its description.

How do I install Developer Docs Technical Research in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill developer-docs-technical-research -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/developer-docs-technical-research in hashgraph-online/awesome-codex-plugins) into .agents/skills/developer-docs-technical-research in your project. Codex loads it when a task matches its description.

Can I use Developer Docs Technical Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill developer-docs-technical-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/developer-docs-technical-research, .gemini/skills/developer-docs-technical-research, .github/skills/developer-docs-technical-research and .opencode/skills/developer-docs-technical-research in your project.

What does Developer Docs Technical Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Developer Docs Technical Research is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Developer Docs Technical Research access the network?

SKILL.md names 1 domain. As links in the text: link.springer.com. This is read from the text; nothing was executed.

Is Developer Docs Technical Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Developer Docs Technical Research use?

Developer Docs Technical Research is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Developer Docs Technical Research use?

About 841 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Developer Docs Technical Research?

Skills that share tags, products or a category with Developer Docs Technical Research: Simple English (moeru-ai/airi, 50k stars), Ccb GitHub (SeemSeam/claude_codex_bridge, 3.5k stars), Golang Documentation (unxed/f4, 240 stars) and Simple English (ropensci/ckanr, 104 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Developer Docs Technical Research?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.