Parallel Web
K-Dense-AI/scientific-agent-skills
Uses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring.
Implement the DRIL (Deep Research on a Loop) methodology to construct economic datasets from primary sources using AI agents.
Install Dril Dataset Construction
$ npx skills add franklee16/academic-research-skills --skill dril-dataset-construction -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install franklee16/academic-research-skills dril-dataset-construction --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/data-sourcing/dril-dataset-construction .claude/skills/dril-dataset-construction && rm -rf skills-srcUse ~/.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/
Install the "dril-dataset-construction" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/data-sourcing/dril-dataset-construction into .claude/skills/dril-dataset-construction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dril-dataset-construction", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/franklee16/academic-research-skills/tree/master/data-sourcing/dril-dataset-constructionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add franklee16/academic-research-skills --skill dril-dataset-construction -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install franklee16/academic-research-skills dril-dataset-construction --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/data-sourcing/dril-dataset-construction .agents/skills/dril-dataset-construction && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dril-dataset-construction" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/data-sourcing/dril-dataset-construction into .agents/skills/dril-dataset-construction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dril-dataset-construction", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add franklee16/academic-research-skills --skill dril-dataset-construction -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install franklee16/academic-research-skills dril-dataset-construction --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/data-sourcing/dril-dataset-construction .cursor/skills/dril-dataset-construction && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dril-dataset-construction" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/data-sourcing/dril-dataset-construction into .cursor/skills/dril-dataset-construction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dril-dataset-construction", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/franklee16/academic-research-skills.git --path data-sourcing/dril-dataset-construction--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add franklee16/academic-research-skills --skill dril-dataset-construction -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install franklee16/academic-research-skills dril-dataset-construction --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/data-sourcing/dril-dataset-construction .gemini/skills/dril-dataset-construction && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dril-dataset-construction" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/data-sourcing/dril-dataset-construction into .gemini/skills/dril-dataset-construction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dril-dataset-construction", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install franklee16/academic-research-skills dril-dataset-constructionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add franklee16/academic-research-skills --skill dril-dataset-construction -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/data-sourcing/dril-dataset-construction .github/skills/dril-dataset-construction && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dril-dataset-construction" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/data-sourcing/dril-dataset-construction into .github/skills/dril-dataset-construction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dril-dataset-construction", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add franklee16/academic-research-skills --skill dril-dataset-construction -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install franklee16/academic-research-skills dril-dataset-construction --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/data-sourcing/dril-dataset-construction .opencode/skills/dril-dataset-construction && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dril-dataset-construction" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/data-sourcing/dril-dataset-construction into .opencode/skills/dril-dataset-construction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dril-dataset-construction", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
dril-dataset-construction- GitHub stars
- 223
- Token cost
- ~2.6k tokens
- SKILL.md length
- 1,224 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 1,617
- Repo updated
- First seen
- Licence
- None found
At a glance
Implement the DRIL (Deep Research on a Loop) methodology to construct economic datasets from primary sources using AI agents.
- Works in 3 steps: Design → Implementation → Verification
- The user wants to build a dataset
- SKILL.md covers What DRIL Does, Architecture Overview, Prerequisites and Stage 1: Design, plus 6 more sections
- Runs Python scripts from its folder
What it does
Dril Dataset Construction is an agent skill from franklee16/academic-research-skills. Implement the DRIL (Deep Research on a Loop) methodology to construct economic datasets from primary sources using AI agents. Use this skill whenever the user wants to build a dataset, construct panel data, collect cross-country or cross-sectional data, compile institutional or legal variables, automate research-assistant data collection, or create a codebook for systematic source coding. This includes tasks like "collect corporate tax rates by country," "build a dataset on central bank independence," "code…
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `evals/evals.json`, `references/codebook_template.yaml` and `references/evidence_policy_template.md`).
It sits in Research & Science, covering Deep research and Schema markup. The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.
When your agent uses it
- The user wants to build a dataset
- Construct panel data
- Collect cross-country
- Cross-sectional data
Example prompts
- “collect corporate tax rates by country,”
- “build a dataset on central bank independence,”
- “code subnational borrowing rules,”
- “/dril-dataset-construction”
Requirements
- Python 3
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Design
- Implementation
- Verification
What it can do on your machine
Read from SKILL.md and the folder at commit 9a4b2db. 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
Ships 2 files in scripts/ (Python), which the agent can run.
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
Dril Dataset Construction loads about 2.6k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 230 tokens; SKILL.md has 1,224 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,224 words (~2,624 tokens).
“This skill implements the Deep Research on a Loop (DRIL) methodology (Afonso et al., NBER w35188) for constructing structured datasets from primary sources using AI agents. DRIL separates research design from implementation, enforces a formal research instrument across all units…”
- name
- dril-dataset-construction
Files
SKILL.md and 5 other files (scripts, references) in data-sourcing/dril-dataset-construction of franklee16/academic-research-skills.
- SKILL.md
- evals/evals.json
- references/codebook_template.yaml
- references/evidence_policy_template.md
- scripts/assemble_dataset.py
- scripts/validate_codebook.py
Open the folder on GitHubat commit 9a4b2db
Compare with similar skills
Dril Dataset Construction 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dril Dataset Construction this skillfranklee16/academic-research-skills | 223 | — | ~2.6k | Automated safety check: Pass | None | |
| Parallel WebK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.2k | Automated safety check: Notes | MIT | |
| Parallel WebK-Dense-AI/claude-scientific-writer | 2.4k | — | ~1.8k | Automated safety check: Notes | MIT | |
| Schema Researchaiskillstore/marketplace | 430 | — | ~2.5k | Automated safety check: Pass | None | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Dril Dataset Construction
What does Dril Dataset Construction do?
Implement the DRIL (Deep Research on a Loop) methodology to construct economic datasets from primary sources using AI agents. Dril Dataset Construction is an agent skill from franklee16/academic-research-skills. Implement the DRIL (Deep Research on a Loop) methodology to construct economic datasets from primary sources using AI agents.
When should I use Dril Dataset Construction?
Dril Dataset Construction fits situations like: the user wants to build a dataset; construct panel data; collect cross-country; cross-sectional data.
How do I install Dril Dataset Construction in Claude Code?
Run `npx skills add franklee16/academic-research-skills --skill dril-dataset-construction -a claude-code`. Or copy the skill folder (data-sourcing/dril-dataset-construction in franklee16/academic-research-skills) into .claude/skills/dril-dataset-construction in your project. Claude Code loads it when a task matches its description.
How do I install Dril Dataset Construction in Codex?
Run `npx skills add franklee16/academic-research-skills --skill dril-dataset-construction -a codex`. Or copy the skill folder (data-sourcing/dril-dataset-construction in franklee16/academic-research-skills) into .agents/skills/dril-dataset-construction in your project. Codex loads it when a task matches its description.
Can I use Dril Dataset Construction 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 franklee16/academic-research-skills --skill dril-dataset-construction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dril-dataset-construction, .gemini/skills/dril-dataset-construction, .github/skills/dril-dataset-construction and .opencode/skills/dril-dataset-construction in your project.
What does Dril Dataset Construction need to run?
Going by SKILL.md and its folder, Dril Dataset Construction needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Dril Dataset Construction 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 Dril Dataset Construction 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Dril Dataset Construction use?
No licence was found for Dril Dataset Construction or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Dril Dataset Construction use?
About 2.6k tokens (SKILL.md is roughly 10k 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 2.6k tokens, read only when the agent opens those files.
What are the alternatives to Dril Dataset Construction?
Skills that share tags, products or a category with Dril Dataset Construction: Parallel Web (K-Dense-AI/scientific-agent-skills, 48k stars), Parallel Web (K-Dense-AI/claude-scientific-writer, 2.4k stars), Schema Research (aiskillstore/marketplace, 430 stars) and GitHub Deep Research (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dril Dataset Construction?
franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,617 skills in this directory. The repository was last updated on September 18, 2026.
Source: franklee16/academic-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.