Claude Code Agent Development
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
A skill your agent uses when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents
Install Executing Analysis
$ npx skills add K-Dense-AI/science-superpowers --skill executing-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/science-superpowers executing-analysis --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/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/executing-analysis .claude/skills/executing-analysis && 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 "executing-analysis" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/executing-analysis into .claude/skills/executing-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "executing-analysis", 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/K-Dense-AI/science-superpowers/tree/main/skills/executing-analysisType 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 K-Dense-AI/science-superpowers --skill executing-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/science-superpowers executing-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/executing-analysis .agents/skills/executing-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "executing-analysis" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/executing-analysis into .agents/skills/executing-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "executing-analysis", 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 K-Dense-AI/science-superpowers --skill executing-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/science-superpowers executing-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/executing-analysis .cursor/skills/executing-analysis && 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 "executing-analysis" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/executing-analysis into .cursor/skills/executing-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "executing-analysis", 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/K-Dense-AI/science-superpowers.git --path skills/executing-analysis--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 K-Dense-AI/science-superpowers --skill executing-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/science-superpowers executing-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/executing-analysis .gemini/skills/executing-analysis && 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 "executing-analysis" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/executing-analysis into .gemini/skills/executing-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "executing-analysis", 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 K-Dense-AI/science-superpowers executing-analysisInstalls 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 K-Dense-AI/science-superpowers --skill executing-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/executing-analysis .github/skills/executing-analysis && 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 "executing-analysis" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/executing-analysis into .github/skills/executing-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "executing-analysis", 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 K-Dense-AI/science-superpowers --skill executing-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install K-Dense-AI/science-superpowers executing-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/executing-analysis .opencode/skills/executing-analysis && 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 "executing-analysis" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/executing-analysis into .opencode/skills/executing-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "executing-analysis", 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
executing-analysis- GitHub stars
- 348
- Token cost
- ~897 tokens
- SKILL.md length
- 410 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents
- Works in 3 steps: Load and Review → Execute Steps → Complete
- You have a pre-registered analysis plan to execute inline in this session with review checkpoints
- SKILL.md covers Overview, Prerequisite, The Process and When to Stop and Ask, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Executing Analysis is an agent skill from K-Dense-AI/science-superpowers. Use when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents
Its SKILL.md is about 900 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 Subagents. The repository describes itself as: Composable computational-science methodology skills for AI research agents — pre-registration over TDD. A science-domain reimplementation of Superpowers.
When your agent uses it
- You have a pre-registered analysis plan to execute inline in this session with review checkpoints
- On a platform without subagents
Example prompts
- “/executing-analysis”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Load and Review
- Execute Steps
- Complete
What it can do on your machine
Read from SKILL.md and the folder at commit 0374bdf. 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
Executing Analysis loads about 897 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 410 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); 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 410 words (~897 tokens).
“Load the pre-registered plan, review it critically, execute all steps exactly as registered, report when complete.”
- name
- executing-analysis
Files
Just SKILL.md in skills/executing-analysis of K-Dense-AI/science-superpowers.
Open the folder on GitHubat commit 0374bdf
Compare with similar skills
Executing Analysis 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 |
|---|---|---|---|---|---|---|
| Executing Analysis this skillK-Dense-AI/science-superpowers | 348 | — | ~897 | Automated safety check: Pass | Custom licence | |
| Claude Code Agent Developmentanthropics/claude-plugins-official | 38k | 8 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Subagent Driven DevelopmentAsvarox/allkaraoke | 261 | 38 repos | ~1.2k | Automated safety check: Pass | None | |
| Dispatching Parallel Agentsultralisp/ultralisp | 258 | 41 repos | ~1.5k | Automated safety check: Pass | None | |
| Paseo Advisor Second Opiniongetpaseo/paseo | 20k | 1 repos | ~756 | Automated safety check: Pass | Custom licence | |
| Task Observerrebelytics/one-skill-to-rule-them-all | 3.2k | 1 repos | ~12k | Automated safety check: Pass | CC-BY-4.0 |
Similar skills
- Official
Subagent Driven Development
Asvarox/allkaraoke
A skill your agent uses when executing implementation plans with independent tasks in the current session
Dispatching Parallel Agents
ultralisp/ultralisp
A skill your agent uses when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Paseo Advisor Second Opinion
getpaseo/paseo
Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.
Task Observer
rebelytics/one-skill-to-rule-them-all
Monitors task execution for skill improvement opportunities.
O2 Review Loop
openobserve/openobserve
Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
More from K-Dense-AI/science-superpowers
All 13 skills in this repoVerifying Results Before Claiming
K-Dense-AI/science-superpowers
A skill your agent uses when about to claim a result, effect, significance, or that an analysis reproduces, before reporting or writing it up - requires running the analysis fresh and reading the…
Designing The Analysis
K-Dense-AI/science-superpowers
A skill your agent uses when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model
Dispatching Parallel Investigations
K-Dense-AI/science-superpowers
A skill your agent uses when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks
Establishing Feasibility First
K-Dense-AI/science-superpowers
A skill your agent uses when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested…
Framing Research Questions
K-Dense-AI/science-superpowers
You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any…
Investigating Anomalous Results
K-Dense-AI/science-superpowers
A skill your agent uses when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails - before adjusting anything
Related
Categories
Questions about Executing Analysis
What does Executing Analysis do?
A skill your agent uses when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents. Executing Analysis is an agent skill from K-Dense-AI/science-superpowers.
When should I use Executing Analysis?
Executing Analysis fits situations like: you have a pre-registered analysis plan to execute inline in this session with review checkpoints; on a platform without subagents.
How do I install Executing Analysis in Claude Code?
Run `npx skills add K-Dense-AI/science-superpowers --skill executing-analysis -a claude-code`. Or copy the skill folder (skills/executing-analysis in K-Dense-AI/science-superpowers) into .claude/skills/executing-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Executing Analysis in Codex?
Run `npx skills add K-Dense-AI/science-superpowers --skill executing-analysis -a codex`. Or copy the skill folder (skills/executing-analysis in K-Dense-AI/science-superpowers) into .agents/skills/executing-analysis in your project. Codex loads it when a task matches its description.
Can I use Executing Analysis 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 K-Dense-AI/science-superpowers --skill executing-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/executing-analysis, .gemini/skills/executing-analysis, .github/skills/executing-analysis and .opencode/skills/executing-analysis in your project.
What does Executing Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Executing Analysis is instructions for the agent only.
Does Executing Analysis 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 Executing Analysis 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 Executing Analysis use?
Executing Analysis 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 Executing Analysis use?
About 897 tokens (SKILL.md is roughly 3.6k 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 Executing Analysis?
Skills that share tags, products or a category with Executing Analysis: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Executing Analysis?
K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/science-superpowers, which has 348 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 13, 2026.
Source: K-Dense-AI/science-superpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.