A skill your agent uses when a research implementation plan exists in docs/superpapers/plans/ and the user is ready to execute it — collecting data, running analysis, producing outputs, writing the…

Custom licenceAuto-check passedAgent Workflows

Install Execute Plan

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills execute-plan --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/60-regisely-superpapers/skills/execute-plan .claude/skills/execute-plan && 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
execute-plan
GitHub stars
4.5k
Token cost
~2.1k tokens
SKILL.md length
1,068 words
Files
1
Skills in repo
364
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when a research implementation plan exists in docs/superpapers/plans/ and the user is ready to execute it — collecting data, running analysis, producing outputs, writing the…

  • Works in 12 steps: Invoke academic-baseline first. This… → Load and parse the plan. Read the plan… → Invoke replication-driven-research to… → …
  • A research implementation plan exists in docs/superpapers/plans/ and the user is ready to execute it — collecting data
  • SKILL.md covers Overview, When to Use, Prerequisites and Mandatory Steps, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Execute Plan is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when a research implementation plan exists in docs/superpapers/plans/ and the user is ready to execute it — collecting data, running analysis, producing outputs, writing the paper. Orchestrates task execution with replication-driven verification and two-stage review at phase boundaries.

Its SKILL.md is about 2.1k 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 Agent Workflows, covering Planning. 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

  • A research implementation plan exists in docs/superpapers/plans/ and the user is ready to execute it — collecting data
  • Running analysis
  • Producing outputs
  • Writing the paper

Example prompts

  • “/execute-plan”

Workflow steps

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

  1. Invoke academic-baseline first. This resolves CLAUDE.superpapers.md via the walk-up Read (current working directory, then parent…
  2. Load and parse the plan. Read the plan file in full. Extract tasks, phases, dependencies, verification criteria, and Skills involved.
  3. Invoke replication-driven-research to ensure project structure. If directories are missing, propose scaffolding. Wait for user…
  4. Pre-flight declaration before every task. Before executing any task, output a structured block
  5. Enforce journal routing. Any task or review involving a target journal, author instructions, formatting, templates, blinding, cover…
  6. Execute tasks phase by phase. Within a phase, independent tasks can be dispatched to subagents in parallel. Sequential tasks run in order.
  7. Verify after every task. Run the task's verification command. If it fails, stop and diagnose — do not proceed silently.
  8. Run end-to-end integration at each phase boundary. Execute the full pipeline from data/raw/ to the farthest artifact produced so far…
  9. Two-stage phase review
  10. Only proceed to the next phase after both stages pass.
  11. On failure: stop, diagnose root cause, fix, re-run from the failing task. Never skip failed tasks. Never re-run from scratch without…
  12. Final full-pipeline run. Before declaring the plan complete, run everything from raw data to final PDF. All verifications must pass.

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.

    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

Execute Plan loads about 2.1k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 1,068 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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 1,068 words (~2,128 tokens).

“This skill executes a research plan phase by phase. It starts by invoking academic-baseline as the standing policy layer, dispatches subagents for independent tasks, invokes replication-driven-research as a guardrail, and runs two-stage review at phase boundaries: correctness first, reproducibility second…”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
execute-plan

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/60-regisely-superpapers/skills/execute-plan of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Execute Plan 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.

Execute Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Execute Plan this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~2.1kAutomated safety check: PassCustom licence
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills103k6 repos~3.8kAutomated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec71k1 repos~4.5kAutomated safety check: PassMIT
Writing Plansgeeksblabla/stateofdev.ma16357 repos~661Automated safety check: PassNone
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone

Similar skills

  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    296k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed
  • Interview Me

    addyosmani/agent-skills

    Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.

    103k GitHub starsUsed in 6 repos~3.8k tokens
    Agent WorkflowsAuto-check passed
  • OpenSpec Guided Onboarding

    Fission-AI/OpenSpec

    Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.

    71k GitHub starsUsed in 1 repo~4.5k tokens
    Agent WorkflowsAuto-check passed
  • Writing Plans

    geeksblabla/stateofdev.ma

    A skill your agent uses when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file…

    163 GitHub starsUsed in 57 repos~661 tokens
    Agent WorkflowsAuto-check passed
  • Subagent Driven Development

    Asvarox/allkaraoke

    A skill your agent uses when executing implementation plans with independent tasks in the current session

    261 GitHub starsUsed in 38 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Planning With Files

    jd-opensource/JoySafeter

    Implements Manus-style file-based planning for complex tasks.

    313 GitHub starsUsed in 19 repos~1.8k tokens
    Agent WorkflowsAuto-check: notes

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 2 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 2 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 2 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 2 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 2 days ago
    Auto-check passed

Categories

Questions about Execute Plan

What does Execute Plan do?

A skill your agent uses when a research implementation plan exists in docs/superpapers/plans/ and the user is ready to execute it — collecting data, running analysis, producing outputs, writing the…. Execute Plan is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when a research implementation plan exists in docs/superpapers/plans/ and the user is ready to execute it — collecting data, running analysis, producing outputs, writing the paper.

When should I use Execute Plan?

Execute Plan fits situations like: A research implementation plan exists in docs/superpapers/plans/ and the user is ready to execute it — collecting data; running analysis; producing outputs; writing the paper.

How do I install Execute Plan in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill execute-plan -a claude-code`. Or copy the skill folder (skills/60-regisely-superpapers/skills/execute-plan in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/execute-plan in your project. Claude Code loads it when a task matches its description.

How do I install Execute Plan in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill execute-plan -a codex`. Or copy the skill folder (skills/60-regisely-superpapers/skills/execute-plan in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/execute-plan in your project. Codex loads it when a task matches its description.

Can I use Execute Plan 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 execute-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/execute-plan, .gemini/skills/execute-plan, .github/skills/execute-plan and .opencode/skills/execute-plan in your project.

What does Execute Plan need to run?

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

Does Execute Plan 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 Execute Plan 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 Execute Plan use?

Execute Plan 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 Execute Plan use?

About 2.1k tokens (SKILL.md is roughly 8.5k 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 Execute Plan?

Skills that share tags, products or a category with Execute Plan: Executing Plans Inline (obra/superpowers, 296k stars), Interview Me (addyosmani/agent-skills, 103k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Execute Plan?

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.