Source Maps
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing slow page loads, heavy assets, or rendering delays related to Provide source maps for production debugging.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.
Apache-2.0Auto-check passed
Install Analogical Discovery
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analogical-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine analogical-discovery --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/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analogical-discovery .claude/skills/analogical-discovery && 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 "analogical-discovery" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analogical-discovery into .claude/skills/analogical-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analogical-discovery", 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/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analogical-discoveryType 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 yogsoth-ai/de-anthropocentric-research-engine --skill analogical-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine analogical-discovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analogical-discovery .agents/skills/analogical-discovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analogical-discovery" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analogical-discovery into .agents/skills/analogical-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analogical-discovery", 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 yogsoth-ai/de-anthropocentric-research-engine --skill analogical-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine analogical-discovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analogical-discovery .cursor/skills/analogical-discovery && 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 "analogical-discovery" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analogical-discovery into .cursor/skills/analogical-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analogical-discovery", 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/yogsoth-ai/de-anthropocentric-research-engine.git --path skills/analogical-discovery--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 yogsoth-ai/de-anthropocentric-research-engine --skill analogical-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine analogical-discovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analogical-discovery .gemini/skills/analogical-discovery && 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 "analogical-discovery" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analogical-discovery into .gemini/skills/analogical-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analogical-discovery", 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 yogsoth-ai/de-anthropocentric-research-engine analogical-discoveryInstalls 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 yogsoth-ai/de-anthropocentric-research-engine --skill analogical-discovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analogical-discovery .github/skills/analogical-discovery && 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 "analogical-discovery" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analogical-discovery into .github/skills/analogical-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analogical-discovery", 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 yogsoth-ai/de-anthropocentric-research-engine --skill analogical-discovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine analogical-discovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analogical-discovery .opencode/skills/analogical-discovery && 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 "analogical-discovery" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analogical-discovery into .opencode/skills/analogical-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analogical-discovery", 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
analogical-discovery- GitHub stars
- 505
- Token cost
- ~633 tokens
- SKILL.md length
- 246 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.
- Works in 3 steps: You MUST load skill abstract-structure… → You MUST load skill map-analogy to map… → You MUST load skill instantiate-transfer…
- SKILL.md covers Purpose, Input contract, Execution protocol and Output contract, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Analogical Discovery is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.
Its SKILL.md is about 630 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: A 267-skill research graph in pure markdown — 51 research operations built from 216 single-purpose steps, composed in any order with explicit backtracking. One npx install, no… The licence is Apache-2.0.
Example prompts
- “/analogical-discovery”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- You MUST load skill abstract-structure to abstract the relational structure.
- You MUST load skill map-analogy to map source relations to the target.
- You MUST load skill instantiate-transfer to instantiate and test the transferred mechanism.
What it can do on your machine
Read from SKILL.md and the folder at commit bdb3524. 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 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
Analogical Discovery loads about 633 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 246 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 yogsoth-ai/de-anthropocentric-research-engine at commit bdb3524, republished under its Apache-2.0 licence (© yogsoth-ai). 246 words, ~633 tokens.
Download SKILL.mdSave it as
.claude/skills/analogical-discovery/SKILL.md (or your agent's skills folder).- name
- analogical-discovery
- description
- Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.
analogical-discovery
Purpose
Transfer a validated relational structure from a source domain into a target research problem.
Input contract
required: [target_problem, source_domain]
optional: [candidate_sources, transfer_constraints]
constraints: [source and target roles must be explicit]Execution protocol
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
- You MUST load skill
abstract-structureto abstract the relational structure. - You MUST load skill
map-analogyto map source relations to the target. - You MUST load skill
instantiate-transferto instantiate and test the transferred mechanism. If the analogy should be expanded across a typed combination space, considerexplore-dimensional-space. If biological mechanisms are the relevant source domain, considerbiomimetic-transfer. If several source structures must be composed, considerconceptual-blending. If the claimed mapping requires a formal preservation audit,audit-structural-equivalencemay be the better next tactic. Deviation: skip source search only when a supplied source is structurally specified; never skip mapping or transfer validation.
Output contract
produces: [abstract_structure, structural_mapping, transfer_candidate]
delta_fields: [findings, hypothesis_updates, uncertainties, decisions, open_questions]Thresholds and quality gates
- B: every transfer records source/target correspondences, unmapped relations, and a depth check; surface similarity alone is insufficient.
Failure and counterexamples
Reject transfers whose causal/relational roles do not map, whose target constraints are violated, or whose claimed mechanism is only lexical resemblance.
Provenance map
creative-ideation/cross-domain-discovery,analogical-transfer,design-by-analogy,functional-analogy,analogy-extraction,bridge-validation: resolved where exact v3 node exists; campaign/strategy labels remain concept provenance.- Status: all six exact names resolved against the v3 source graph.
Preserved source criteria ledger
- Preserve deep structural correspondence and transfer viability; do not collapse to keyword similarity.
Context checkpoint / Delta notes
Append source relations, mapping gaps, transfer assumptions, and validation findings.
© yogsoth-ai, Apache-2.0. 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/analogical-discovery of yogsoth-ai/de-anthropocentric-research-engine.
Open the folder on GitHubat commit bdb3524
Compare with similar skills
Analogical Discovery 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 |
|---|---|---|---|---|---|---|
| Analogical Discovery this skillyogsoth-ai/de-anthropocentric-research-engine | 505 | — | ~633 | Automated safety check: Pass | Apache-2.0 | |
| Source Mapsthedaviddias/Front-End-Checklist | 74k | — | ~445 | Automated safety check: Pass | MIT | |
| Token Mapnexu-io/open-design | 100k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Maps Geographyasgeirtj/system_prompts_leaks | 69k | — | ~717 | Automated safety check: Pass | CC0-1.0 | |
| Abstractbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~495 | Automated safety check: Notes | Custom licence | |
| Domain Analysistech-leads-club/agent-skills | 7k | — | ~2.9k | Automated safety check: Pass | Custom licence |
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Token Map
nexu-io/open-design
Map an extracted Figma / source-code token bag onto the active OD design system, producing a deterministic mapping the generate stage can consume.
Maps Geography
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Accurate maps from real geo data — use for any map, or whenever geography would make a good graphic for a deliverable
Abstract
brycewang-stanford/Auto-Empirical-Research-Skills
Reads the manuscript and notebooks to generate a structured abstract.
Domain Analysis
tech-leads-club/agent-skills
Maps business domains and suggests service boundaries in any codebase using DDD Strategic Design.
Analogy Finder
lijigang/ljg-skills
Finds an apt analogy or relational metaphor for a scene, or for the difference between two things, based on structure-mapping theory, and states where the comparison breaks.
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Questions about Analogical Discovery
What does Analogical Discovery do?
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms. Analogical Discovery is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.
How do I install Analogical Discovery in Claude Code?
Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analogical-discovery -a claude-code`. Or copy the skill folder (skills/analogical-discovery in yogsoth-ai/de-anthropocentric-research-engine) into .claude/skills/analogical-discovery in your project. Claude Code loads it when a task matches its description.
How do I install Analogical Discovery in Codex?
Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analogical-discovery -a codex`. Or copy the skill folder (skills/analogical-discovery in yogsoth-ai/de-anthropocentric-research-engine) into .agents/skills/analogical-discovery in your project. Codex loads it when a task matches its description.
Can I use Analogical Discovery 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 yogsoth-ai/de-anthropocentric-research-engine --skill analogical-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analogical-discovery, .gemini/skills/analogical-discovery, .github/skills/analogical-discovery and .opencode/skills/analogical-discovery in your project.
What does Analogical Discovery need to run?
SKILL.md names no scripts, command-line tools or credentials: Analogical Discovery is instructions for the agent only.
Does Analogical Discovery 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 Analogical Discovery 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 Analogical Discovery use?
Analogical Discovery is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Analogical Discovery use?
About 633 tokens (SKILL.md is roughly 2.5k 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 Analogical Discovery?
Skills that share tags, products or a category with Analogical Discovery: Source Maps (thedaviddias/Front-End-Checklist, 74k stars), Token Map (nexu-io/open-design, 100k stars), Maps Geography (asgeirtj/system_prompts_leaks, 69k stars) and Abstract (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Analogical Discovery?
yogsoth-ai (a GitHub organization) maintains it in yogsoth-ai/de-anthropocentric-research-engine, which has 505 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 29, 2026.
Source: yogsoth-ai/de-anthropocentric-research-engine on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.