Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
For every analogy in a substacker draft, verifies it carries mechanical weight — the analogy does real work explaining the mechanism, not merely decorates it.
Install Analogy Weight Check
$ npx skills add lyndonkl/claude --skill analogy-weight-check -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lyndonkl/claude analogy-weight-check --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/lyndonkl/claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analogy-weight-check .claude/skills/analogy-weight-check && 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 "analogy-weight-check" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/analogy-weight-check into .claude/skills/analogy-weight-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analogy-weight-check", 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/lyndonkl/claude/tree/main/skills/analogy-weight-checkType 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 lyndonkl/claude --skill analogy-weight-check -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lyndonkl/claude analogy-weight-check --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lyndonkl/claude.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analogy-weight-check .agents/skills/analogy-weight-check && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analogy-weight-check" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/analogy-weight-check into .agents/skills/analogy-weight-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analogy-weight-check", 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 lyndonkl/claude --skill analogy-weight-check -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lyndonkl/claude analogy-weight-check --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lyndonkl/claude.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analogy-weight-check .cursor/skills/analogy-weight-check && 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 "analogy-weight-check" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/analogy-weight-check into .cursor/skills/analogy-weight-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analogy-weight-check", 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/lyndonkl/claude.git --path skills/analogy-weight-check--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 lyndonkl/claude --skill analogy-weight-check -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lyndonkl/claude analogy-weight-check --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lyndonkl/claude.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analogy-weight-check .gemini/skills/analogy-weight-check && 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 "analogy-weight-check" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/analogy-weight-check into .gemini/skills/analogy-weight-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analogy-weight-check", 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 lyndonkl/claude analogy-weight-checkInstalls 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 lyndonkl/claude --skill analogy-weight-check -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lyndonkl/claude.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analogy-weight-check .github/skills/analogy-weight-check && 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 "analogy-weight-check" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/analogy-weight-check into .github/skills/analogy-weight-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analogy-weight-check", 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 lyndonkl/claude --skill analogy-weight-check -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lyndonkl/claude analogy-weight-check --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lyndonkl/claude.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analogy-weight-check .opencode/skills/analogy-weight-check && 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 "analogy-weight-check" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/analogy-weight-check into .opencode/skills/analogy-weight-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analogy-weight-check", 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
analogy-weight-check- GitHub stars
- 164
- Token cost
- ~1.1k tokens
- SKILL.md length
- 463 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- None found
At a glance
For every analogy in a substacker draft, verifies it carries mechanical weight — the analogy does real work explaining the mechanism, not merely decorates it.
- Works in 2 steps: "KV cache like a library card catalog" → "Attention is also like a room full of…
- An analogy appears in the draft
- SKILL.md covers Table of Contents, Mechanical-weight test, Workflow and Worked example, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Analogy Weight Check is an agent skill from lyndonkl/claude. For every analogy in a substacker draft, verifies it carries mechanical weight — the analogy does real work explaining the mechanism, not merely decorates it. Cross-references analogy-catalog.md for novelty (is this analogy reused from a prior post?) and domain fit (biology organizational sports preferred; physics/military disfavored). Use whenever an analogy appears in the draft. Trigger keywords — analogy weight, decorative, mechanical weight, reused analogy, catalog check, metaphor check.
Its SKILL.md is about 1.1k 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 AI & LLM Engineering. The repository describes itself as: Agents, skills and anything else to use with claude.
When your agent uses it
- An analogy appears in the draft
- Keywords — analogy weight
- Mechanical weight
Example prompts
- “/analogy-weight-check”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- "KV cache like a library card catalog"
- "Attention is also like a room full of people trying to hear each other"
What it can do on your machine
Read from SKILL.md and the folder at commit 4acc337. 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
Analogy Weight Check loads about 1.1k tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 463 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 463 words (~1,089 tokens).
“Related skills: Called by Editor in structural pass (since analogy decisions affect paragraph structure). Reads shared-context/analogy-catalog.md for novelty.”
- name
- analogy-weight-check
Files
Just SKILL.md in skills/analogy-weight-check of lyndonkl/claude.
Open the folder on GitHubat commit 4acc337
Compare with similar skills
Analogy Weight Check 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 |
|---|---|---|---|---|---|---|
| Analogy Weight Check this skilllyndonkl/claude | 164 | — | ~1.1k | Automated safety check: Pass | None | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
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Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
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Related
Categories
Questions about Analogy Weight Check
What does Analogy Weight Check do?
For every analogy in a substacker draft, verifies it carries mechanical weight — the analogy does real work explaining the mechanism, not merely decorates it. Analogy Weight Check is an agent skill from lyndonkl/claude. For every analogy in a substacker draft, verifies it carries mechanical weight — the analogy does real work explaining the mechanism, not merely decorates it.
When should I use Analogy Weight Check?
Analogy Weight Check fits situations like: an analogy appears in the draft; keywords — analogy weight; mechanical weight.
How do I install Analogy Weight Check in Claude Code?
Run `npx skills add lyndonkl/claude --skill analogy-weight-check -a claude-code`. Or copy the skill folder (skills/analogy-weight-check in lyndonkl/claude) into .claude/skills/analogy-weight-check in your project. Claude Code loads it when a task matches its description.
How do I install Analogy Weight Check in Codex?
Run `npx skills add lyndonkl/claude --skill analogy-weight-check -a codex`. Or copy the skill folder (skills/analogy-weight-check in lyndonkl/claude) into .agents/skills/analogy-weight-check in your project. Codex loads it when a task matches its description.
Can I use Analogy Weight Check 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 lyndonkl/claude --skill analogy-weight-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analogy-weight-check, .gemini/skills/analogy-weight-check, .github/skills/analogy-weight-check and .opencode/skills/analogy-weight-check in your project.
What does Analogy Weight Check need to run?
SKILL.md names no scripts, command-line tools or credentials: Analogy Weight Check is instructions for the agent only.
Does Analogy Weight Check 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 Analogy Weight Check 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 Analogy Weight Check use?
No licence was found for Analogy Weight Check or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Analogy Weight Check use?
About 1.1k tokens (SKILL.md is roughly 4.4k 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 Analogy Weight Check?
Skills that share tags, products or a category with Analogy Weight Check: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Analogy Weight Check?
lyndonkl (a GitHub user) maintains it in lyndonkl/claude, which has 164 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 1, 2026.
Source: lyndonkl/claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.