Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Design and test explicit human, implicit model or agent, programmatic application, bounded skill-composition, and harness activation policies for an Agent Skill catalog.
Install Skill Invocation Router
$ npx skills add rohitg00/ai-engineering-from-scratch --skill skill-invocation-router -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rohitg00/ai-engineering-from-scratch skill-invocation-router --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/rohitg00/ai-engineering-from-scratch.git skills-src && mkdir -p .claude/skills && cp -r skills-src/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router .claude/skills/skill-invocation-router && 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 "skill-invocation-router" agent skill from https://github.com/rohitg00/ai-engineering-from-scratch/tree/main/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router into .claude/skills/skill-invocation-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-invocation-router", 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/rohitg00/ai-engineering-from-scratch/tree/main/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-routerType 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 rohitg00/ai-engineering-from-scratch --skill skill-invocation-router -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rohitg00/ai-engineering-from-scratch skill-invocation-router --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/ai-engineering-from-scratch.git skills-src && mkdir -p .agents/skills && cp -r skills-src/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router .agents/skills/skill-invocation-router && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-invocation-router" agent skill from https://github.com/rohitg00/ai-engineering-from-scratch/tree/main/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router into .agents/skills/skill-invocation-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-invocation-router", 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 rohitg00/ai-engineering-from-scratch --skill skill-invocation-router -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rohitg00/ai-engineering-from-scratch skill-invocation-router --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/ai-engineering-from-scratch.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router .cursor/skills/skill-invocation-router && 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 "skill-invocation-router" agent skill from https://github.com/rohitg00/ai-engineering-from-scratch/tree/main/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router into .cursor/skills/skill-invocation-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-invocation-router", 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/rohitg00/ai-engineering-from-scratch.git --path phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router--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 rohitg00/ai-engineering-from-scratch --skill skill-invocation-router -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rohitg00/ai-engineering-from-scratch skill-invocation-router --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/ai-engineering-from-scratch.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router .gemini/skills/skill-invocation-router && 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 "skill-invocation-router" agent skill from https://github.com/rohitg00/ai-engineering-from-scratch/tree/main/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router into .gemini/skills/skill-invocation-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-invocation-router", 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 rohitg00/ai-engineering-from-scratch skill-invocation-routerInstalls 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 rohitg00/ai-engineering-from-scratch --skill skill-invocation-router -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rohitg00/ai-engineering-from-scratch.git skills-src && mkdir -p .github/skills && cp -r skills-src/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router .github/skills/skill-invocation-router && 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 "skill-invocation-router" agent skill from https://github.com/rohitg00/ai-engineering-from-scratch/tree/main/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router into .github/skills/skill-invocation-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-invocation-router", 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 rohitg00/ai-engineering-from-scratch --skill skill-invocation-router -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rohitg00/ai-engineering-from-scratch skill-invocation-router --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/ai-engineering-from-scratch.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router .opencode/skills/skill-invocation-router && 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 "skill-invocation-router" agent skill from https://github.com/rohitg00/ai-engineering-from-scratch/tree/main/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router into .opencode/skills/skill-invocation-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-invocation-router", 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
skill-invocation-router- GitHub stars
- 66k
- Token cost
- ~389 tokens
- SKILL.md length
- 168 words
- Files
- 4 (incl. scripts, references, assets)
- Skills in repo
- 16
- Repo updated
- First seen
- Licence
- MIT
At a glance
Design and test explicit human, implicit model or agent, programmatic application, bounded skill-composition, and harness activation policies for an Agent Skill catalog.
- Works in 8 steps: Read references/invocation-model.md and… → Review assets/host-policy.json as an… → Run python3… → …
- AI & LLM Engineering work in your project
- Runs Python scripts from its folder; calls python3
What it does
Skill Invocation Router is an agent skill from rohitg00/ai-engineering-from-scratch. Design and test explicit human, implicit model or agent, programmatic application, bounded skill-composition, and harness activation policies for an Agent Skill catalog.
Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts, reference files and assets (for example `assets/host-policy.json`, `references/invocation-model.md` and `scripts/simulate_invocation.py`).
It sits in AI & LLM Engineering. The repository describes itself as: Learn it. Build it. Ship it for others. The licence is MIT.
When your agent uses it
- AI & LLM Engineering work in your project
Example prompts
- “/skill-invocation-router”
Requirements
- Python 3
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Read references/invocation-model.md and classify the requested channel.
- Review assets/host-policy.json as an example adapter configuration, not a portable standard.
- Run python3 scripts/simulate_invocation.py --policy assets/host-policy.json --actor ACTOR --name NAME --description DESCRIPTION --query…
- For a human, application, skill, or harness request, require an exact discovered name and its channel-specific allowlist.
- For a skill caller, also require caller identity, a non-cyclic target, and a bounded composition depth.
- For a model or autonomous agent request, remove candidates that the actor or recognized host extensions make ineligible.
- Score only the remaining descriptions. Select the strongest eligible match or abstain when no eligible candidate clears the threshold.
- Return the JSON decision with the adapter, channel, score, and policy reason.
What it can do on your machine
Read from SKILL.md and the folder at commit 7a181b4. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Skill Invocation Router loads about 389 tokens when it runs, and up to ~739 if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 168 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); the scripts in this folder are not scanned.
SKILL.md
The full file from rohitg00/ai-engineering-from-scratch at commit 7a181b4, republished under its MIT licence (© rohitg00). 168 words, ~389 tokens.
Download SKILL.mdSave it as
.claude/skills/skill-invocation-router/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- skill-invocation-router
- description
- Design and test explicit human, implicit model or agent, programmatic application, bounded skill-composition, and harness activation policies for an Agent Skill catalog.
- license
- MIT
- metadata.lesson
- 25
Skill invocation router
Use this skill when a host needs an auditable activation policy rather than one undifferentiated invocable flag.
- Read
references/invocation-model.mdand classify the requested channel. - Review
assets/host-policy.jsonas an example adapter configuration, not a portable standard. - Run
python3 scripts/simulate_invocation.py --policy assets/host-policy.json --actor ACTOR --name NAME --description DESCRIPTION --query QUERY [--explicit-name NAME] [--caller-name NAME] [--depth N] [--user-invocable true|false] [--disable-model-invocation true|false]. - For a human, application, skill, or harness request, require an exact discovered name and its channel-specific allowlist.
- For a skill caller, also require caller identity, a non-cyclic target, and a bounded composition depth.
- For a model or autonomous agent request, remove candidates that the actor or recognized host extensions make ineligible.
- Score only the remaining descriptions. Select the strongest eligible match or abstain when no eligible candidate clears the threshold.
- Return the JSON decision with the adapter, channel, score, and policy reason.
Activation loads instructions. It does not approve tools, filesystem changes, network access, secret use, or bundled scripts.
© rohitg00, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts, references, assets) in phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router of rohitg00/ai-engineering-from-scratch.
- SKILL.md
- assets/host-policy.json
- references/invocation-model.md
- scripts/simulate_invocation.py
Open the folder on GitHubat commit 7a181b4
Compare with similar skills
Skill Invocation Router 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 |
|---|---|---|---|---|---|---|
| Skill Invocation Router this skillrohitg00/ai-engineering-from-scratch | 66k | — | ~389 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Peft Fine TuningOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.8k | 15 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
Similar skills
Add Uint Support
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Peft Fine Tuning
Orchestra-Research/AI-Research-SKILLs
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods.
Segment Anything Model Guide
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.
1password
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
Chroma Vector Database
Orchestra-Research/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
More from rohitg00/ai-engineering-from-scratch
All 16 skills in this repoSkill Release Gate
rohitg00/ai-engineering-from-scratch
Evaluates an Agent Skill bundle before release for structure, trigger quality, artifact improvement, script correctness, safety, installed-tree integrity and host portability.
AI Engineering Placement Quiz
rohitg00/ai-engineering-from-scratch
Runs a 10-question quiz across five areas to place a learner in the AI Engineering from Scratch curriculum, so they skip what they already know.
AI Engineering Project Tutor
rohitg00/ai-engineering-from-scratch
Tutors a learner through one stage of a hands-on AI engineering project per session: lesson, prediction, code, grader run and reflection, with hints but never full solutions.
AI Engineering Phase Quiz
rohitg00/ai-engineering-from-scratch
Quizzes you on a completed phase of the AI Engineering from Scratch course, taking a phase number or name and mapping it to that phase's directory.
Claude Certification Tutor
rohitg00/ai-engineering-from-scratch
Guides a learner through one of four independent Claude certification tracks with onboarding, lessons, practice labs, mock exams and remediation.
AI Engineering Course Guide
rohitg00/ai-engineering-from-scratch
Routes a topic, question or bug to the exact lessons in the AI Engineering from Scratch curriculum and suggests the next command to run.
Related
Categories
Questions about Skill Invocation Router
What does Skill Invocation Router do?
Design and test explicit human, implicit model or agent, programmatic application, bounded skill-composition, and harness activation policies for an Agent Skill catalog. Skill Invocation Router is an agent skill from rohitg00/ai-engineering-from-scratch. Design and test explicit human, implicit model or agent, programmatic application, bounded skill-composition, and harness activation policies for an Agent Skill catalog.
When should I use Skill Invocation Router?
Skill Invocation Router fits situations like: AI & LLM Engineering work in your project.
How do I install Skill Invocation Router in Claude Code?
Run `npx skills add rohitg00/ai-engineering-from-scratch --skill skill-invocation-router -a claude-code`. Or copy the skill folder (phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router in rohitg00/ai-engineering-from-scratch) into .claude/skills/skill-invocation-router in your project. Claude Code loads it when a task matches its description.
How do I install Skill Invocation Router in Codex?
Run `npx skills add rohitg00/ai-engineering-from-scratch --skill skill-invocation-router -a codex`. Or copy the skill folder (phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router in rohitg00/ai-engineering-from-scratch) into .agents/skills/skill-invocation-router in your project. Codex loads it when a task matches its description.
Can I use Skill Invocation Router 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 rohitg00/ai-engineering-from-scratch --skill skill-invocation-router -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-invocation-router, .gemini/skills/skill-invocation-router, .github/skills/skill-invocation-router and .opencode/skills/skill-invocation-router in your project.
What does Skill Invocation Router need to run?
Going by SKILL.md and its folder, Skill Invocation Router needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Skill Invocation Router 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 Skill Invocation Router 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Skill Invocation Router use?
Skill Invocation Router is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Skill Invocation Router use?
About 389 tokens (SKILL.md is roughly 1.6k 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 350 tokens, read only when the agent opens those files.
What are the alternatives to Skill Invocation Router?
Skills that share tags, products or a category with Skill Invocation Router: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (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 Skill Invocation Router?
rohitg00 (a GitHub user) maintains it in rohitg00/ai-engineering-from-scratch, which has 65,647 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 6, 2026.
Source: rohitg00/ai-engineering-from-scratch on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.