Import
asgeirtj/system_prompts_leaks
Handle explicit /import requests for read-only transcript recovery and a resume checkpoint, or continue work from other coding agents and unnamed artifacts.
Imports solutions from unrelated domains by finding structural similarities between your problem and solved problems elsewhere.
MITAuto-check passed
Install S4h Analogy Domain Transfer
$ npx skills add human-avatar/skills-for-humanity --skill s4h-analogy-domain-transfer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h-analogy-domain-transfer --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/human-avatar/skills-for-humanity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/s4h-analogy-domain-transfer .claude/skills/s4h-analogy-domain-transfer && 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 "s4h-analogy-domain-transfer" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-analogy-domain-transfer into .claude/skills/s4h-analogy-domain-transfer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h-analogy-domain-transfer", 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/human-avatar/skills-for-humanity/tree/main/skills/s4h-analogy-domain-transferType 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 human-avatar/skills-for-humanity --skill s4h-analogy-domain-transfer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h-analogy-domain-transfer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/s4h-analogy-domain-transfer .agents/skills/s4h-analogy-domain-transfer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "s4h-analogy-domain-transfer" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-analogy-domain-transfer into .agents/skills/s4h-analogy-domain-transfer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h-analogy-domain-transfer", 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 human-avatar/skills-for-humanity --skill s4h-analogy-domain-transfer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h-analogy-domain-transfer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/s4h-analogy-domain-transfer .cursor/skills/s4h-analogy-domain-transfer && 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 "s4h-analogy-domain-transfer" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-analogy-domain-transfer into .cursor/skills/s4h-analogy-domain-transfer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h-analogy-domain-transfer", 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/human-avatar/skills-for-humanity.git --path skills/s4h-analogy-domain-transfer--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 human-avatar/skills-for-humanity --skill s4h-analogy-domain-transfer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h-analogy-domain-transfer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/s4h-analogy-domain-transfer .gemini/skills/s4h-analogy-domain-transfer && 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 "s4h-analogy-domain-transfer" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-analogy-domain-transfer into .gemini/skills/s4h-analogy-domain-transfer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h-analogy-domain-transfer", 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 human-avatar/skills-for-humanity s4h-analogy-domain-transferInstalls 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 human-avatar/skills-for-humanity --skill s4h-analogy-domain-transfer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/s4h-analogy-domain-transfer .github/skills/s4h-analogy-domain-transfer && 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 "s4h-analogy-domain-transfer" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-analogy-domain-transfer into .github/skills/s4h-analogy-domain-transfer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h-analogy-domain-transfer", 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 human-avatar/skills-for-humanity --skill s4h-analogy-domain-transfer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h-analogy-domain-transfer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/s4h-analogy-domain-transfer .opencode/skills/s4h-analogy-domain-transfer && 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 "s4h-analogy-domain-transfer" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-analogy-domain-transfer into .opencode/skills/s4h-analogy-domain-transfer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h-analogy-domain-transfer", 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
s4h-analogy-domain-transfer- GitHub stars
- 231
- Token cost
- ~1.2k tokens
- SKILL.md length
- 576 words
- Files
- 1
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- MIT
At a glance
Imports solutions from unrelated domains by finding structural similarities between your problem and solved problems elsewhere.
- SKILL.md covers Your Process, Human Check-in, Output Format and Notes, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
S4h Analogy Domain Transfer is an agent skill from human-avatar/skills-for-humanity. Imports solutions from unrelated domains by finding structural similarities between your problem and solved problems elsewhere. Triggers: 'cross-domain analogy', 'what solves this elsewhere', 'find a parallel problem', 'look outside this field', 'borrow a solution'.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Structured reasoning methodologies from history's most rigorous thinkers, packaged as Claude Code skills. The licence is MIT.
Example prompts
- “cross-domain analogy”
- “what solves this elsewhere”
- “find a parallel problem”
- “/s4h-analogy-domain-transfer”
What it can do on your machine
Read from SKILL.md and the folder at commit a30df8b. 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
S4h Analogy Domain Transfer loads about 1.2k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 576 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
The full file from human-avatar/skills-for-humanity at commit a30df8b, republished under its MIT licence (© human-avatar). 576 words, ~1,186 tokens.
Download SKILL.mdSave it as
.claude/skills/s4h-analogy-domain-transfer/SKILL.md (or your agent's skills folder).- name
- s4h-analogy-domain-transfer
- description
- Imports solutions from unrelated domains by finding structural similarities between your problem and solved problems elsewhere. Triggers: 'cross-domain analogy', 'what solves this elsewhere', 'find a parallel problem', 'look outside this field', 'borrow a solution'.
Analogy Domain Transfer
Your field has blind spots that your field created. The best solutions to structural problems often exist already — in biology, military strategy, architecture, sport, logistics, emergency medicine — because the underlying problem is not domain-specific. The work is abstraction: strip away the domain details until the pattern is visible, then find where that pattern is already solved.
Your Process
Step 1: Abstract the Problem to Structural Essence Describe the problem without any domain vocabulary. What is actually happening? What are the actors, their relationships, the failure mode, the goal? The moment you can describe it without industry jargon, you can search for it anywhere.
Framing check: Confirm the specific problem being transferred before continuing. State what you've identified — the actual challenge, its actors, and the failure mode or goal — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the problem stripped of domain vocabulary]. Is that right?"
- Header: "Framing"
- Options:
- Yes — proceed — framing is correct
- Adjust — one element is off; user will correct it before you continue
- Reframe — different situation than read; incorporate the correction before proceeding
Step 2: Search Candidate Domains Consider where this structural pattern appears: biology (systems, adaptation, immunity), military (logistics, command, deception), architecture (load, flow, resilience), sport (coordination, pressure, strategy), gaming (rules, incentives, escalation), logistics (sequencing, bottlenecks, routing), medicine (diagnosis, triage, recovery).
Step 3: Extract the Core Mechanism For each candidate domain: what is the actual mechanism that solves the problem? Not the surface story — the operational logic. How does it work, step by step?
Step 4: Map Mechanism Back Translate the mechanism into your problem. What plays what role? What would be the equivalent of each element? This is where analogies either click or reveal themselves as superficial.
Step 5: Test Where the Analogy Holds and Breaks Every analogy breaks somewhere. Where does the mechanism still work when mapped? Where does it stop working? The break points tell you where to be careful and where the insight ends.
Show full SKILL.md (245 more words)Show less
Human Check-in
Before proceeding, use the AskUserQuestion tool. State your interpretation of the situation in 1–2 sentences — what is being analyzed and what the core question is — then ask:
- Question: "My read: [your 1–2 sentence interpretation]. How do you want to proceed?"
- Header: "Scope"
- Options:
- Full analysis — Complete all steps, reasoning shown throughout
- Key findings only — Bottom-line output, skip step-by-step detail
- One domain transfer — The single most structurally similar domain, fully developed
- Reframe — The read is off; correct it and the analysis will follow the corrected framing
Proceed based on their selection. If the user reframes, incorporate the correction before running any analysis.
Output Format
Problem (abstracted — no domain vocabulary):
[Structural description]
Candidate domains and mechanisms:
| Domain | Analogous problem | Core mechanism | Strength of match |
|---|---|---|---|
Best mapping:
- Domain element → Your problem element (for each key pair)
Where the analogy holds:
[Specific aspects]
Where the analogy breaks:
[Specific aspects — don't skip this]
Insight to import:
[The actionable mechanism translated back into your problem]
Notes
A weak abstraction in Step 1 produces weak domain matches. If the domains found feel obvious or already-familiar, the abstraction still contains domain assumptions — strip further.
What's Next
After delivering this output, use AskUserQuestion to offer the next move:
- Question: "Domain transfer complete. What's next?"
- Header: "Next"
- Options:
/s4h-logic-check— Validate that the transfer holds and conclusions follow/s4h-analogy-boundary-testing— Test where the analogy breaks down/s4h-creativity-alternatives— Use the transferred ideas to generate new alternatives- Done — Wrap up and synthesise what we have so far
© human-avatar, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/s4h-analogy-domain-transfer of human-avatar/skills-for-humanity.
Open the folder on GitHubat commit a30df8b
Compare with similar skills
S4h Analogy Domain Transfer 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 |
|---|---|---|---|---|---|---|
| S4h Analogy Domain Transfer this skillhuman-avatar/skills-for-humanity | 231 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Importasgeirtj/system_prompts_leaks | 69k | — | ~3.5k | Automated safety check: Pass | CC0-1.0 | |
| Import Solutionmicrosoft/power-platform-skills | 984 | — | ~9.6k | Automated safety check: Notes | MIT | |
| Structured Datathedaviddias/Front-End-Checklist | 74k | — | ~420 | Automated safety check: Pass | MIT | |
| Bio Structural Biology Modern Structure PredictionFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Code Importnexu-io/open-design | 100k | — | ~597 | Automated safety check: Pass | Apache-2.0 |
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Questions about S4h Analogy Domain Transfer
What does S4h Analogy Domain Transfer do?
Imports solutions from unrelated domains by finding structural similarities between your problem and solved problems elsewhere. S4h Analogy Domain Transfer is an agent skill from human-avatar/skills-for-humanity. Imports solutions from unrelated domains by finding structural similarities between your problem and solved problems elsewhere.
How do I install S4h Analogy Domain Transfer in Claude Code?
Run `npx skills add human-avatar/skills-for-humanity --skill s4h-analogy-domain-transfer -a claude-code`. Or copy the skill folder (skills/s4h-analogy-domain-transfer in human-avatar/skills-for-humanity) into .claude/skills/s4h-analogy-domain-transfer in your project. Claude Code loads it when a task matches its description.
How do I install S4h Analogy Domain Transfer in Codex?
Run `npx skills add human-avatar/skills-for-humanity --skill s4h-analogy-domain-transfer -a codex`. Or copy the skill folder (skills/s4h-analogy-domain-transfer in human-avatar/skills-for-humanity) into .agents/skills/s4h-analogy-domain-transfer in your project. Codex loads it when a task matches its description.
Can I use S4h Analogy Domain Transfer 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 human-avatar/skills-for-humanity --skill s4h-analogy-domain-transfer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/s4h-analogy-domain-transfer, .gemini/skills/s4h-analogy-domain-transfer, .github/skills/s4h-analogy-domain-transfer and .opencode/skills/s4h-analogy-domain-transfer in your project.
What does S4h Analogy Domain Transfer need to run?
SKILL.md names no scripts, command-line tools or credentials: S4h Analogy Domain Transfer is instructions for the agent only.
Does S4h Analogy Domain Transfer 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 S4h Analogy Domain Transfer 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 S4h Analogy Domain Transfer use?
S4h Analogy Domain Transfer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does S4h Analogy Domain Transfer use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 S4h Analogy Domain Transfer?
Skills that share tags, products or a category with S4h Analogy Domain Transfer: Import (asgeirtj/system_prompts_leaks, 69k stars), Import Solution (microsoft/power-platform-skills, 984 stars), Structured Data (thedaviddias/Front-End-Checklist, 74k stars) and Bio Structural Biology Modern Structure Prediction (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains S4h Analogy Domain Transfer?
human-avatar (a GitHub organization) maintains it in human-avatar/skills-for-humanity, which has 231 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on July 15, 2026.
Source: human-avatar/skills-for-humanity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.