Agent D2 - Data Collection Specialist - Interviews, Focus Groups & Observation.

Custom licenceAuto-check passedMedia & Creative

Install D2

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill d2 -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills d2 --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/25-HosungYou-Diverga/skills/d2 .claude/skills/d2 && 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
d2
GitHub stars
4.5k
Token cost
~11k tokens
SKILL.md length
3,301 words
Files
1
Skills in repo
364
Repo updated
First seen
Licence
Custom licence

At a glance

Agent D2 - Data Collection Specialist - Interviews, Focus Groups & Observation.

  • Works in 12 steps: Interview Protocol Development → Focus Group Design → Transcription Conventions → …
  • Tasks that involve Transcription
  • SKILL.md covers ⛔ Prerequisites (v8.2 — MCP…, Agent Identity, Core Mission and Automatic Triggers, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

D2 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Agent D2 - Data Collection Specialist - Interviews, Focus Groups & Observation. Covers protocol development, question design, probing strategies, transcription conventions, and systematic observation. Absorbed D3 (Observation Protocol Designer) capabilities.

Its SKILL.md is about 11k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Transcription. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • Tasks that involve Transcription

Example prompts

  • “/d2”

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Interview Protocol Development
  2. Focus Group Design
  3. Transcription Conventions
  4. Member Checking Procedures
  5. Ethical Safeguards
  6. Integration with Other Agents
  7. Quality Criteria Checklist
  8. Example Workflow: From Design to Analysis
  9. Common Mistakes and Solutions
  10. Output Templates
  11. Advanced Techniques
  12. Reflexivity in Interviewing

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. 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 (its code samples are markdown and yaml).

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

  • Network

    No URLs in SKILL.md.

    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.

Context cost

D2 loads about 11k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 3,301 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~11k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 3,301 words (~11,204 tokens).

“diverga_check_prerequisites("d2") → must return approved: true If not approved → AskUserQuestion for each missing checkpoint (see .claude/references/checkpoint-templates.md)”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
d2
version
12.0.1

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/25-HosungYou-Diverga/skills/d2 of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

D2 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.

D2 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
D2 this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~11kAutomated safety check: PassCustom licence
Video Understandcalesthio/OpenMontage65k—~841Automated safety check: PassAGPL-3.0
Media Useedenfunf/reelmimic1.7k2 repos~2kAutomated safety check: PassMIT
Capcut Editrenezander030/capcut-cli8351 repos~1.4kAutomated safety check: PassMIT
HyperFrames Media Useheygen-com/hyperframes59k—~2.4kAutomated safety check: PassApache-2.0
Hyperframesboraoztunc/skills3959 repos~7.6kAutomated safety check: PassApache-2.0

Similar skills

  • Video Understand

    calesthio/OpenMontage

    Understand video content locally using ffmpeg frame extraction and Whisper transcription.

    65k GitHub stars~841 tokensUpdated 5 days ago
    Media & CreativeAuto-check passed
  • Media Use

    edenfunf/reelmimic

    Agent Media OS, the single skill for every media need in a HyperFrames project.

    1.7k GitHub starsUsed in 2 repos~2k tokens
    Media & CreativeAuto-check passed
  • Capcut Edit

    renezander030/capcut-cli

    Edit CapCut / JianYing video projects — read and write subtitles, timing, speed, volume, templates, animations (fade/ken-burns), and cut long-form to shorts.

    835 GitHub starsUsed in 1 repo~1.4k tokens
    Media & CreativeAuto-check passed
  • HyperFrames Media Use

    heygen-com/hyperframes

    Finds, generates and edits media for HyperFrames video projects: music, sound effects, images, icons, logos, voiceovers, captions and color grades.

    59k GitHub stars~2.4k tokensUpdated yesterday
    Media & CreativeAuto-check passed
  • Hyperframes

    boraoztunc/skills

    Create video compositions, animations, title cards, overlays, captions, voiceovers, audio-reactive visuals, and scene transitions in HyperFrames HTML.

    395 GitHub starsUsed in 9 repos~7.6k tokens
    Media & CreativeAuto-check passed
  • Karaoke Captions

    AI-Builder-Club/skills

    Generate TikTok/Shorts-style karaoke captions using MLX Whisper, ASS subtitles, and FFmpeg libass.

    1.3k GitHub starsUsed in 1 repo~850 tokens
    Media & CreativeAuto-check passed

More from brycewang-stanford/Auto-Empirical-Research-Skills

All 364 skills in this repo
  • Latex Paper En

    brycewang-stanford/Auto-Empirical-Research-Skills

    English LaTeX academic paper assistant for existing .tex projects.

    4.5k GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Bayesian Workflow

    brycewang-stanford/Auto-Empirical-Research-Skills

    Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

    4.5k GitHub stars~3.5k tokensUpdated 3 days ago
    Auto-check passed
  • Five Questions

    brycewang-stanford/Auto-Empirical-Research-Skills

    Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.

    4.5k GitHub stars~1.7k tokensUpdated 3 days ago
    Auto-check: notes
  • Kaggle Research

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…

    4.5k GitHub stars~868 tokensUpdated 3 days ago
    Auto-check passed
  • Latex Thesis Zh

    brycewang-stanford/Auto-Empirical-Research-Skills

    Chinese LaTeX thesis assistant for existing .tex degree thesis projects (XeLaTeX/LuaLaTeX/latexmk).

    4.5k GitHub stars~1.5k tokensUpdated 3 days ago
    Auto-check passed
  • Obsidian Project Memory

    brycewang-stanford/Auto-Empirical-Research-Skills

    This skill should be used when the user asks to maintain an Obsidian knowledge base for a research project, import an existing research repository into Obsidian, keep project memory or daily notes…

    4.5k GitHub stars~2.4k tokensUpdated 3 days ago
    Auto-check passed

Questions about D2

What does D2 do?

Agent D2 - Data Collection Specialist - Interviews, Focus Groups & Observation. D2 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Agent D2 - Data Collection Specialist - Interviews, Focus Groups & Observation.

When should I use D2?

D2 fits situations like: tasks that involve Transcription.

How do I install D2 in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill d2 -a claude-code`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/d2 in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/d2 in your project. Claude Code loads it when a task matches its description.

How do I install D2 in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill d2 -a codex`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/d2 in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/d2 in your project. Codex loads it when a task matches its description.

Can I use D2 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill d2 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/d2, .gemini/skills/d2, .github/skills/d2 and .opencode/skills/d2 in your project.

What does D2 need to run?

SKILL.md names no scripts, command-line tools or credentials: D2 is instructions for the agent only.

Does D2 access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is D2 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 D2 use?

D2 has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does D2 use?

About 11k tokens (SKILL.md is roughly 45k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to D2?

Skills that share tags, products or a category with D2: Video Understand (calesthio/OpenMontage, 65k stars), Media Use (edenfunf/reelmimic, 1.7k stars), Capcut Edit (renezander030/capcut-cli, 835 stars) and HyperFrames Media Use (heygen-com/hyperframes, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains D2?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,529 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.