Tw Legal RAG
aa0101181514/tw-legal-rag
Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law.
Use historical analogies to inform strategic decisions by identifying structural similarities and differences between past and present situations.
$ npx skills add asgard-ai-platform/skills --skill hum-historical-analogy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills hum-historical-analogy --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/hum-historical-analogy .claude/skills/hum-historical-analogy && 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 "hum-historical-analogy" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/hum-historical-analogy into .claude/skills/hum-historical-analogy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hum-historical-analogy", 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/asgard-ai-platform/skills/tree/main/hum-historical-analogyType 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 asgard-ai-platform/skills --skill hum-historical-analogy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills hum-historical-analogy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/hum-historical-analogy .agents/skills/hum-historical-analogy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hum-historical-analogy" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/hum-historical-analogy into .agents/skills/hum-historical-analogy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hum-historical-analogy", 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 asgard-ai-platform/skills --skill hum-historical-analogy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills hum-historical-analogy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/hum-historical-analogy .cursor/skills/hum-historical-analogy && 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 "hum-historical-analogy" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/hum-historical-analogy into .cursor/skills/hum-historical-analogy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hum-historical-analogy", 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/asgard-ai-platform/skills.git --path hum-historical-analogy--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 asgard-ai-platform/skills --skill hum-historical-analogy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills hum-historical-analogy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/hum-historical-analogy .gemini/skills/hum-historical-analogy && 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 "hum-historical-analogy" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/hum-historical-analogy into .gemini/skills/hum-historical-analogy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hum-historical-analogy", 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 asgard-ai-platform/skills hum-historical-analogyInstalls 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 asgard-ai-platform/skills --skill hum-historical-analogy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/hum-historical-analogy .github/skills/hum-historical-analogy && 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 "hum-historical-analogy" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/hum-historical-analogy into .github/skills/hum-historical-analogy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hum-historical-analogy", 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 asgard-ai-platform/skills --skill hum-historical-analogy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills hum-historical-analogy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/hum-historical-analogy .opencode/skills/hum-historical-analogy && 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 "hum-historical-analogy" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/hum-historical-analogy into .opencode/skills/hum-historical-analogy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hum-historical-analogy", 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.
hum-historical-analogyUse historical analogies to inform strategic decisions by identifying structural similarities and differences between past and present situations.
Hum Historical Analogy is an agent skill from asgard-ai-platform/skills. Use historical analogies to inform strategic decisions by identifying structural similarities and differences between past and present situations. Use this skill when the user draws on historical precedent to justify a strategy, needs to evaluate whether a historical comparison is valid, or wants to learn from past events — even if they say 'this is like the dotcom bubble', 'history repeats itself', or 'what can we learn from how X handled this'.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `examples/sample_scenario.md` and `references/thinking-in-time.md`).
It sits in Legal & Compliance, covering Legal research. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Hum Historical Analogy loads about 1.4k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 118 tokens; SKILL.md has 472 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.
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.
The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 472 words, ~1,429 tokens.
.claude/skills/hum-historical-analogy/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Historical analogies apply lessons from past events to current decisions. When used rigorously, they provide pattern recognition and foresight. When used carelessly, they mislead by overfitting superficial similarities and ignoring structural differences.
IRON LAW: Structural Similarity, Not Surface Similarity
A valid analogy requires shared STRUCTURAL features (causal mechanisms,
power dynamics, systemic patterns), not just surface resemblance.
"This startup is the next Apple" because the founder wears turtlenecks =
surface similarity (worthless). "This market has the same demand-side
network effects as early smartphone adoption" = structural similarity (useful).| Trap | Description | Example |
|---|---|---|
| Cherry-picking | Selecting only the historical case that supports your conclusion | "Kodak failed to adapt, so we must pivot" (ignoring cases where staying the course was right) |
| Outcome bias | Using the historical outcome to validate the analogy | "Amazon survived the dotcom bust, so we will too" (survivorship bias) |
| False precision | Expecting history to repeat exactly | "The 2008 crisis took 18 months to recover, so this one will too" |
| Presentism | Judging past decisions by present knowledge | "They should have seen the crisis coming" (they didn't have today's data) |
# Historical Analogy Assessment: {Current Situation} ↔ {Historical Event}
## The Analogy
"{Current situation} is like {historical event} because..."
## Structural Similarities
| Feature | Historical | Current | Similarity |
|---------|-----------|---------|-----------|
| {mechanism} | {how it worked then} | {how it works now} | Strong/Moderate/Weak |
## Structural Differences
| Feature | Historical | Current | Impact on Analogy |
|---------|-----------|---------|------------------|
| {factor} | {then} | {now} | Weakens/Neutral/Strengthens |
## Validity Assessment
- Overall analogy strength: Strong / Moderate / Weak
- Valid for: {what aspects of the decision the analogy informs}
- Invalid for: {where the analogy breaks down}
## Lessons (with caveats)
1. {lesson} — caveat: {where this might not apply}Scenario: "AI in 2025 is like the Internet in 1995"
| Structural Similarity | Internet 1995 | AI 2025 | Strength |
|---|---|---|---|
| General-purpose technology enabling many applications | ✓ | ✓ | Strong |
| Early hype cycle with inflated expectations | ✓ (dotcom) | ✓ (AI bubble concerns) | Strong |
| Infrastructure buildout phase (broadband then, GPU/data centers now) | ✓ | ✓ | Strong |
| Structural Difference | Internet 1995 | AI 2025 | Impact |
|---|---|---|---|
| Deployment speed | Years for broadband rollout | AI accessible via API in minutes | Weakens (faster adoption) |
| Incumbent response | Incumbents slow to respond (Blockbuster, newspapers) | Incumbents adopting aggressively (Microsoft, Google) | Weakens (harder for startups) |
| Regulatory environment | Minimal regulation | Active AI regulation globally (EU AI Act) | Weakens (more constraints) |
Verdict: Moderate analogy — valid for understanding the hype cycle pattern and infrastructure investment phase, but invalid for predicting startup vs incumbent dynamics ✓
references/thinking-in-time.md© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in hum-historical-analogy of asgard-ai-platform/skills.
Open the folder on GitHubat commit 4e7f4f8
Hum Historical Analogy 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 |
|---|---|---|---|---|---|---|
| Hum Historical Analogy this skillasgard-ai-platform/skills | 242 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Tw Legal RAGaa0101181514/tw-legal-rag | 328 | — | ~580 | Automated safety check: Pass | Custom licence | |
| Design Award SearchSeanJ1ang/design-judge-skills | 712 | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| China Lawyer AnalystCSlawyer1985/china-lawyer-analyst | 196 | — | ~3.3k | Automated safety check: Pass | None | |
| Billing And Litigation BudgetTHUYRan/Legal-Skills-Chinese | 874 | — | ~5k | Automated safety check: Pass | None | |
| Legal Issue ResearchGolden2002/legal-research-skill | 156 | — | ~6.8k | Automated safety check: Pass | MIT |
aa0101181514/tw-legal-rag
Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law.
SeanJ1ang/design-judge-skills
Find and verify award-winning designs in the same or adjacent functional category through eight explicit relevance dimensions: problem and user, core function, sensing technology, intervention…
CSlawyer1985/china-lawyer-analyst
通过中国法律视角分析事件,运用成文法解释、指导案例参照、请求权基础分析等方法, 理解权利义务、评估责任风险、识别法律依据并推荐合规策略。
THUYRan/Legal-Skills-Chinese
A skill your agent uses when the user needs to track or manage attorney hours, expert fees, and investigation costs; control litigation spend; or prepare timesheets or expense statements for clients.
Golden2002/legal-research-skill
中国法律全领域系统性检索专家. An agent skill from Golden2002/legal-research-skill.
Serein-81/financial_rag
Searches current Chinese tax laws, rates and policy changes with Tavily web search, prioritizing government sources and flagging outdated or conflicting results.
asgard-ai-platform/skills
Implement BM25 ranking function for e-commerce product search relevance scoring.
asgard-ai-platform/skills
Calculate Cpk process capability index to assess whether a process meets specification requirements.
asgard-ai-platform/skills
Calculate price elasticity of demand to quantify how price changes affect sales volume.
asgard-ai-platform/skills
Apply Bayesian averaging to rank items by combining observed ratings with prior expectations.
asgard-ai-platform/skills
Implement Elo rating system to rank items or players from pairwise comparison outcomes.
asgard-ai-platform/skills
Calculate Wilson Score confidence intervals for ranking items by positive proportion with sample size correction.
Categories
Use historical analogies to inform strategic decisions by identifying structural similarities and differences between past and present situations. Hum Historical Analogy is an agent skill from asgard-ai-platform/skills. Use historical analogies to inform strategic decisions by identifying structural similarities and differences between past and present situations.
Hum Historical Analogy fits situations like: the user draws on historical precedent to justify a strategy; needs to evaluate whether a historical comparison is valid; wants to learn from past events — even if they say this is like the dotcom bubble; history repeats itself.
Run `npx skills add asgard-ai-platform/skills --skill hum-historical-analogy -a claude-code`. Or copy the skill folder (hum-historical-analogy in asgard-ai-platform/skills) into .claude/skills/hum-historical-analogy in your project. Claude Code loads it when a task matches its description.
Run `npx skills add asgard-ai-platform/skills --skill hum-historical-analogy -a codex`. Or copy the skill folder (hum-historical-analogy in asgard-ai-platform/skills) into .agents/skills/hum-historical-analogy in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgard-ai-platform/skills --skill hum-historical-analogy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hum-historical-analogy, .gemini/skills/hum-historical-analogy, .github/skills/hum-historical-analogy and .opencode/skills/hum-historical-analogy in your project.
SKILL.md names no scripts, command-line tools or credentials: Hum Historical Analogy is instructions for the agent only.
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.
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.
Hum Historical Analogy is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.7k 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 3.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Hum Historical Analogy: Tw Legal RAG (aa0101181514/tw-legal-rag, 328 stars), Design Award Search (SeanJ1ang/design-judge-skills, 712 stars), China Lawyer Analyst (CSlawyer1985/china-lawyer-analyst, 196 stars) and Billing And Litigation Budget (THUYRan/Legal-Skills-Chinese, 874 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.