Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Builds structured abstraction ladders that translate high-level principles into concrete, actionable examples across 3-5 levels.
$ npx skills add lyndonkl/claude --skill abstraction-concrete-examples -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lyndonkl/claude abstraction-concrete-examples --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/abstraction-concrete-examples .claude/skills/abstraction-concrete-examples && 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 "abstraction-concrete-examples" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/abstraction-concrete-examples into .claude/skills/abstraction-concrete-examples/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "abstraction-concrete-examples", 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/abstraction-concrete-examplesType 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 abstraction-concrete-examples -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lyndonkl/claude abstraction-concrete-examples --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/abstraction-concrete-examples .agents/skills/abstraction-concrete-examples && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "abstraction-concrete-examples" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/abstraction-concrete-examples into .agents/skills/abstraction-concrete-examples/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "abstraction-concrete-examples", 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 abstraction-concrete-examples -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lyndonkl/claude abstraction-concrete-examples --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/abstraction-concrete-examples .cursor/skills/abstraction-concrete-examples && 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 "abstraction-concrete-examples" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/abstraction-concrete-examples into .cursor/skills/abstraction-concrete-examples/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "abstraction-concrete-examples", 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/abstraction-concrete-examples--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 abstraction-concrete-examples -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lyndonkl/claude abstraction-concrete-examples --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/abstraction-concrete-examples .gemini/skills/abstraction-concrete-examples && 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 "abstraction-concrete-examples" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/abstraction-concrete-examples into .gemini/skills/abstraction-concrete-examples/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "abstraction-concrete-examples", 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 abstraction-concrete-examplesInstalls 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 abstraction-concrete-examples -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/abstraction-concrete-examples .github/skills/abstraction-concrete-examples && 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 "abstraction-concrete-examples" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/abstraction-concrete-examples into .github/skills/abstraction-concrete-examples/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "abstraction-concrete-examples", 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 abstraction-concrete-examples -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 abstraction-concrete-examples --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/abstraction-concrete-examples .opencode/skills/abstraction-concrete-examples && 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 "abstraction-concrete-examples" agent skill from https://github.com/lyndonkl/claude/tree/main/skills/abstraction-concrete-examples into .opencode/skills/abstraction-concrete-examples/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "abstraction-concrete-examples", 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.
abstraction-concrete-examplesBuilds structured abstraction ladders that translate high-level principles into concrete, actionable examples across 3-5 levels.
Abstraction Concrete Examples is an agent skill from lyndonkl/claude. Builds structured abstraction ladders that translate high-level principles into concrete, actionable examples across 3-5 levels. Bridges communication gaps, reveals hidden assumptions, and tests whether abstract ideas work in practice. Use when explaining concepts at different expertise levels, moving between abstract principles and concrete implementation, identifying edge cases by testing ideas against scenarios, designing layered documentation, decomposing complex problems into actionable steps, or bridging…
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files (for example `resources/evaluators/rubric_abstraction_concrete_examples.json`, `resources/examples/api-design.md` and `resources/examples/hiring-process.md`).
It sits in AI & LLM Engineering. The repository describes itself as: Agents, skills and anything else to use with claude.
Read from SKILL.md and the folder at commit 4acc337. 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.
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.
Abstraction Concrete Examples loads about 1.1k tokens when it runs. Until then it costs about 143 tokens; SKILL.md has 417 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 417 words (~1,145 tokens).
“The ladder uses 3-5 levels connecting universal principles to concrete details. Example:”
SKILL.md and 5 other files in skills/abstraction-concrete-examples of lyndonkl/claude.
Open the folder on GitHubat commit 4acc337
Abstraction Concrete Examples 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 |
|---|---|---|---|---|---|---|
| Abstraction Concrete Examples 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 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
jarrodwatts/claude-code-config
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
lyndonkl/claude
Guides the creation of evidence-based academic recommendation letters, reference letters, and award nominations that combine concrete examples, meaningful comparisons, and genuine enthusiasm.
lyndonkl/claude
Documents significant architectural and technical decisions with full context, alternatives considered, trade-offs analyzed, and consequences understood.
lyndonkl/claude
Produces a Bayesian prior probability that an offered transaction is +EV for the recipient, given that the counterparty chose to propose it.
lyndonkl/claude
Creates actionable alignment frameworks that give teams a shared North Star (direction), values (guardrails), and decision tenets (behavioral standards).
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.
lyndonkl/claude
Scans transactions for fraud and anomaly signals — duplicate charges within 48 hours, transactions more than 3 standard deviations above a merchant's historical average, first-ever transaction with…
Categories
Builds structured abstraction ladders that translate high-level principles into concrete, actionable examples across 3-5 levels. Abstraction Concrete Examples is an agent skill from lyndonkl/claude. Builds structured abstraction ladders that translate high-level principles into concrete, actionable examples across 3-5 levels.
Abstraction Concrete Examples fits situations like: explaining concepts at different expertise levels; moving between abstract principles and concrete implementation; identifying edge cases by testing ideas against scenarios; designing layered documentation.
Run `npx skills add lyndonkl/claude --skill abstraction-concrete-examples -a claude-code`. Or copy the skill folder (skills/abstraction-concrete-examples in lyndonkl/claude) into .claude/skills/abstraction-concrete-examples in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lyndonkl/claude --skill abstraction-concrete-examples -a codex`. Or copy the skill folder (skills/abstraction-concrete-examples in lyndonkl/claude) into .agents/skills/abstraction-concrete-examples 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 lyndonkl/claude --skill abstraction-concrete-examples -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/abstraction-concrete-examples, .gemini/skills/abstraction-concrete-examples, .github/skills/abstraction-concrete-examples and .opencode/skills/abstraction-concrete-examples in your project.
SKILL.md names no scripts, command-line tools or credentials: Abstraction Concrete Examples 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.
No licence was found for Abstraction Concrete Examples or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Abstraction Concrete Examples: 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.
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.