Shogun Bloom Config
yohey-w/multi-agent-shogun
Interactive wizard: guided questions with multiple-choice options about subscriptions, then outputs a ready-to-paste capabilitytiers YAML + fixed agent model assignments.
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
Install Agentic Engineering
$ npx skills add majiayu000/claude-skill-registry --skill agentic-engineering -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/claude-skill-registry agentic-engineering --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/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent/agentic-engineering .claude/skills/agentic-engineering && 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 "agentic-engineering" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/agent/agentic-engineering into .claude/skills/agentic-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentic-engineering", 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/majiayu000/claude-skill-registry/tree/main/skills/agent/agentic-engineeringType 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 majiayu000/claude-skill-registry --skill agentic-engineering -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/claude-skill-registry agentic-engineering --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agent/agentic-engineering .agents/skills/agentic-engineering && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agentic-engineering" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/agent/agentic-engineering into .agents/skills/agentic-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentic-engineering", 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 majiayu000/claude-skill-registry --skill agentic-engineering -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/claude-skill-registry agentic-engineering --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agent/agentic-engineering .cursor/skills/agentic-engineering && 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 "agentic-engineering" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/agent/agentic-engineering into .cursor/skills/agentic-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentic-engineering", 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/majiayu000/claude-skill-registry.git --path skills/agent/agentic-engineering--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 majiayu000/claude-skill-registry --skill agentic-engineering -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/claude-skill-registry agentic-engineering --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agent/agentic-engineering .gemini/skills/agentic-engineering && 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 "agentic-engineering" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/agent/agentic-engineering into .gemini/skills/agentic-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentic-engineering", 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 majiayu000/claude-skill-registry agentic-engineeringInstalls 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 majiayu000/claude-skill-registry --skill agentic-engineering -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agent/agentic-engineering .github/skills/agentic-engineering && 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 "agentic-engineering" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/agent/agentic-engineering into .github/skills/agentic-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentic-engineering", 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 majiayu000/claude-skill-registry --skill agentic-engineering -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/claude-skill-registry agentic-engineering --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agent/agentic-engineering .opencode/skills/agentic-engineering && 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 "agentic-engineering" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/agent/agentic-engineering into .opencode/skills/agentic-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentic-engineering", 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
agentic-engineering- GitHub stars
- 666
- Used in
- 6 other repos
- Token cost
- ~433 tokens
- SKILL.md length
- 204 words
- Files
- 2
- Skills in repo
- 1,273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
- Works in 4 steps: Define completion criteria before… → Decompose work into agent-sized units. → Route model tiers by task complexity. → …
- Tasks that involve Model routing and gateways
- SKILL.md covers Operating Principles, Eval-First Loop, Task Decomposition and Model Routing, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Agentic Engineering is an agent skill from majiayu000/claude-skill-registry. Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).
It sits in AI & LLM Engineering, covering Model routing and gateways. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.
When your agent uses it
- Tasks that involve Model routing and gateways
Example prompts
- “/agentic-engineering”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Define completion criteria before execution.
- Decompose work into agent-sized units.
- Route model tiers by task complexity.
- Measure with evals and regression checks.
What it can do on your machine
Read from SKILL.md and the folder at commit 2d14a69. 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
Agentic Engineering loads about 433 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 204 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 majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 204 words, ~433 tokens.
Download SKILL.mdSave it as
.claude/skills/agentic-engineering/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- agentic-engineering
- description
- Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
- origin
- ECC
Agentic Engineering
Use this skill for engineering workflows where AI agents perform most implementation work and humans enforce quality and risk controls.
Operating Principles
- Define completion criteria before execution.
- Decompose work into agent-sized units.
- Route model tiers by task complexity.
- Measure with evals and regression checks.
Eval-First Loop
- Define capability eval and regression eval.
- Run baseline and capture failure signatures.
- Execute implementation.
- Re-run evals and compare deltas.
Task Decomposition
Apply the 15-minute unit rule:
- each unit should be independently verifiable
- each unit should have a single dominant risk
- each unit should expose a clear done condition
Model Routing
- Haiku: classification, boilerplate transforms, narrow edits
- Sonnet: implementation and refactors
- Opus: architecture, root-cause analysis, multi-file invariants
Session Strategy
- Continue session for closely-coupled units.
- Start fresh session after major phase transitions.
- Compact after milestone completion, not during active debugging.
Review Focus for AI-Generated Code
Prioritize:
- invariants and edge cases
- error boundaries
- security and auth assumptions
- hidden coupling and rollout risk
Do not waste review cycles on style-only disagreements when automated format/lint already enforce style.
Cost Discipline
Track per task:
- model
- token estimate
- retries
- wall-clock time
- success/failure
Escalate model tier only when lower tier fails with a clear reasoning gap.
© majiayu000, 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 1 other file in skills/agent/agentic-engineering of majiayu000/claude-skill-registry.
- SKILL.md
- metadata.json
Open the folder on GitHubat commit 2d14a69
Used in 6 other repositories
We found 12 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 6 other GitHub owners. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.
- affaan-m/ECCskills/agentic-engineeringpi/core/skills/agentic-engineering
- loulanyue/awesome-claude-notesskills/agentic-engineeringdocs/tr/skills/agentic-engineering+4 more
- hashgraph-online/awesome-codex-pluginsplugins/Colin4k1024/tsp/skills/agentic-engineering
- tpavanipradeep/everything-claude-codeskills/agentic-engineering
- Sidiora-Labs/centra-llm-agentsprotocol/skills/agentic-engineering
- templetongroup/radiantskills/agentic-engineering
Compare with similar skills
Agentic Engineering 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 |
|---|---|---|---|---|---|---|
| Agentic Engineering this skillmajiayu000/claude-skill-registry | 666 | 6 repos | ~433 | Automated safety check: Pass | MIT | |
| Shogun Bloom Configyohey-w/multi-agent-shogun | 1.4k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Codemie Analyticscodemie-ai/codemie-code | 294 | — | ~7.5k | Automated safety check: Pass | Apache-2.0 | |
| Model Routernidhi-singh02/agent-router | 110 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Codex Model Routing Teamzjp1997720/codex-model-routing-team | 158 | — | ~736 | Automated safety check: Pass | MIT | |
| Add Modelget-convex/convex-evals | 129 | — | ~1.5k | Automated safety check: Notes | Apache-2.0 |
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Related
Categories
Questions about Agentic Engineering
What does Agentic Engineering do?
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Agentic Engineering is an agent skill from majiayu000/claude-skill-registry. Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
When should I use Agentic Engineering?
Agentic Engineering fits situations like: tasks that involve Model routing and gateways.
How do I install Agentic Engineering in Claude Code?
Run `npx skills add majiayu000/claude-skill-registry --skill agentic-engineering -a claude-code`. Or copy the skill folder (skills/agent/agentic-engineering in majiayu000/claude-skill-registry) into .claude/skills/agentic-engineering in your project. Claude Code loads it when a task matches its description.
How do I install Agentic Engineering in Codex?
Run `npx skills add majiayu000/claude-skill-registry --skill agentic-engineering -a codex`. Or copy the skill folder (skills/agent/agentic-engineering in majiayu000/claude-skill-registry) into .agents/skills/agentic-engineering in your project. Codex loads it when a task matches its description.
Can I use Agentic Engineering 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 majiayu000/claude-skill-registry --skill agentic-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentic-engineering, .gemini/skills/agentic-engineering, .github/skills/agentic-engineering and .opencode/skills/agentic-engineering in your project.
What does Agentic Engineering need to run?
SKILL.md names no scripts, command-line tools or credentials: Agentic Engineering is instructions for the agent only.
Does Agentic Engineering 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 Agentic Engineering 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 Agentic Engineering use?
Agentic Engineering is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agentic Engineering use?
About 433 tokens (SKILL.md is roughly 1.7k 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 Agentic Engineering?
Skills that share tags, products or a category with Agentic Engineering: Shogun Bloom Config (yohey-w/multi-agent-shogun, 1.4k stars), Codemie Analytics (codemie-ai/codemie-code, 294 stars), Model Router (nidhi-singh02/agent-router, 110 stars) and Codex Model Routing Team (zjp1997720/codex-model-routing-team, 158 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agentic Engineering?
majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.
Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.