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create-agent

pjt222
Aktualisiert 2 days ago
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Metaaidesign

Über

Die `create-agent`-Fähigkeit erstellt neue Agenten-Definitionsdateien gemäß der `agent-almanac`-Vorlage und Konventionen. Sie führt Entwickler durch Persona-Design, Tool-/Fähigkeitsauswahl, Modellwahl und ordnungsgemäße Registry-Integration. Verwenden Sie sie, wenn Sie einen spezialisierten Agenten zur Bibliothek hinzufügen oder einen domänenspezifischen Assistenten mit kuratierten Fähigkeiten erstellen möchten.

Schnellinstallation

Claude Code

Empfohlen
Primär
npx skills add pjt222/agent-almanac -a claude-code
Plugin-BefehlAlternativ
/plugin add https://github.com/pjt222/agent-almanac
Git CloneAlternativ
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/create-agent

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren

Dokumentation

Create a New Agent

Define Claude Code subagent persona: focused purpose + curated tools + skills + docs.

Use When

  • New specialist agent for uncovered domain
  • Convert recurring workflow → reusable persona
  • Domain-specific assistant w/ curated skills + tools
  • Split broad agent → single-responsibility
  • Design new team member pre-composition

In

  • Required: Name (kebab-case, data-engineer)
  • Required: 1-line desc of primary purpose
  • Required: Purpose statement
  • Optional: Model (def: sonnet; alt: opus, haiku)
  • Optional: Priority (def: normal; alt: high, low)
  • Optional: Skills from skills/_registry.yml
  • Optional: MCP servers (r-mcptools, hf-mcp-server)

Do

Step 1: Persona

  • Name: kebab-case, role-descriptive. Noun/domain prefix: security-analyst, r-developer. Avoid helper/assistant.
  • Purpose: 1 paragraph → specific problem. "What does this agent do no existing covers?"
  • Style: Tech → precise + citations. Creative → exploratory. Compliance → formal + audit.

Check overlap w/ existing 53 agents:

grep -i "description:" agents/_registry.yml | grep -i "<your-domain-keywords>"

Got: No overlap. If partial → extend existing.

If err: Significant overlap → extend agent's skills OR narrow scope to complement.

Step 2: Tools

Min tool set, least-privilege.

Tool SetUse WhenExample Agents
[Read, Grep, Glob]Read-only analysis, review, auditcode-reviewer, security-analyst, auditor
[Read, Grep, Glob, WebFetch]Analysis + external lookupsenior-researcher
[Read, Write, Edit, Bash, Grep, Glob]Full dev — create/modify coder-developer, web-developer, devops-engineer
[Read, Write, Edit, Bash, Grep, Glob, WebFetch, WebSearch]Dev + external researchpolymath, shapeshifter

No Bash for analyze-only. No WebFetch/WebSearch unless external lookup needed.

Got: Tool list only what agent uses in primary workflows.

If err: Cap doesn't need tool → remove.

Step 3: Model

  • sonnet (def): Most agents. Reasoning + speed. Dev, review, analysis.
  • opus: Complex reasoning, multi-step, nuanced. Senior agents, arch, deep domain.
  • haiku: Simple fast. Lookups, formatting, templates.

Got: Model matches cognitive demand.

If err: Doubt → sonnet. Upgrade → opus only if insufficient.

Step 4: Skills

Browse registry, select domain skills:

# List all skills in a domain
grep -A3 "domain-name:" skills/_registry.yml

# Search for skills by keyword
grep -i "keyword" skills/_registry.yml

Build skills list:

skills:
  - skill-id-one
  - skill-id-two
  - skill-id-three

Important: All agents auto-inherit defaults (meditate, heal) from registry default_skills. Do NOT list unless core to methodology (e.g., mystic lists meditate → its primary purpose).

Got: 3-15 skill IDs exist in skills/_registry.yml.

If err: Verify: grep "id: skill-name" skills/_registry.yml. Remove non-matching.

Step 5: Write File

cp agents/_template.md agents/<agent-name>.md

Fill frontmatter:

---
name: agent-name
description: One to two sentences describing primary capability and domain
tools: [Read, Write, Edit, Bash, Grep, Glob]
model: sonnet
version: "1.0.0"
author: Philipp Thoss
created: YYYY-MM-DD
updated: YYYY-MM-DD
tags: [domain, specialty, relevant-keywords]
priority: normal
max_context_tokens: 200000
skills:
  - assigned-skill-one
  - assigned-skill-two
# Note: All agents inherit default skills (meditate, heal) from the registry.
# Only list them here if they are core to this agent's methodology.
# mcp_servers: []  # Uncomment and populate if MCP servers are needed
---

Got: YAML parses. Required fields present.

If err: Validate syntax. Common: missing quotes on ver, bad indent, unclosed brackets.

Step 6: Purpose + Capabilities

Purpose: 1 paragraph → specific problem + value. Concrete: domain, workflow, outcome.

Capabilities: Bullets w/ bold leads. Group by cat if many:

## Capabilities

- **Primary Capability**: What the agent does best
- **Secondary Capability**: Additional functionality
- **Tool Integration**: How it leverages its tools

Available Skills: Bare IDs + brief:

## Available Skills

- `skill-id` - Brief description of what the skill does

Got: Purpose specific (not "helps w/ dev"), caps concrete + verifiable, skills match frontmatter.

If err: Vague → "What specific task user asks?" → use as purpose.

Step 7: Usage Scenarios + Examples

2-3 scenarios → spawn patterns:

### Scenario 1: Primary Use Case
Brief description of the main scenario.

> "Use the agent-name agent to [specific task]."

### Scenario 2: Alternative Use Case
Description of another common use case.

> "Spawn the agent-name to [different task]."

1-2 examples → req + expected behavior:

### Example 1: Basic Usage
**User**: [Specific request]
**Agent**: [Expected response pattern and actions taken]

Got: Scenarios realistic, examples show value, spawn patterns match Claude Code.

If err: Mental test → could agent fulfill w/ assigned tools + skills?

Step 8: Limitations + See Also

Limitations: 3-5 honest. Cannot / should not / poor result scenarios:

## Limitations

- Cannot execute code in language X (no runtime available)
- Not suitable for tasks requiring Y — use Z agent instead
- Requires MCP server ABC to be running for full functionality

See Also: Cross-ref complementary agents, guides, teams:

## See Also

- [complementary-agent](complementary-agent.md) - handles the X side of this workflow
- [relevant-guide](../guides/guide-name.md) - background knowledge for this domain
- [relevant-team](../teams/team-name.md) - team that includes this agent

Got: Limits honest + specific. See Also refs exist.

If err: ls agents/complementary-agent.md → verify.

Step 9: Registry

Edit agents/_registry.yml, add entry alphabetical:

  - id: agent-name
    path: agents/agent-name.md
    description: Same one-line description from frontmatter
    tags: [domain, specialty]
    priority: normal
    tools: [Read, Write, Edit, Bash, Grep, Glob]
    skills:
      - skill-id-one
      - skill-id-two

Increment total_agents.

Got: Entry matches frontmatter. total_agents = count.

If err: grep -c "^ - id:" agents/_registry.yml → verify match.

Step 10: Discovery

Claude Code → .claude/agents/ → symlink to agents/:

# Verify the symlink exists and resolves
ls -la .claude/agents/
readlink -f .claude/agents/<agent-name>.md

Symlink intact → auto-discoverable.

Regen README:

npm run update-readmes

Got: Symlink resolves. agents/README.md has new agent.

If err: Broken → ln -sf ../agents .claude/agents. Script fail → check scripts/generate-readmes.js + js-yaml.

Step 11: Scaffold Translations

Required for all agents. Human + AI authors. Do not skip → backlog.

Scaffold for 4 locales post-commit:

for locale in de zh-CN ja es; do
  npm run translate:scaffold -- agents <agent-name> "$locale"
done

Translate prose (code + IDs stay EN). Regen status:

npm run translation:status

Got: 4 files at i18n/{de,zh-CN,ja,es}/agents/<agent-name>.md, source_commit = HEAD. npm run validate:translations → 0 stale.

If err: Scaffold fail → verify agent in registry. Status stale → run npm run translation:status explicitly (no CI auto).

Check

  • File at agents/<agent-name>.md
  • YAML parses
  • Required fields: name, description, tools, model, version, author
  • name = filename (no .md)
  • Sections: Purpose, Capabilities, Available Skills, Usage Scenarios, Examples, Limitations, See Also
  • Skills in frontmatter exist in registry
  • Default skills (meditate, heal) NOT listed unless core
  • Tools = least-privilege
  • Registry entry + matching metadata
  • total_agents updated
  • .claude/agents/ symlink resolves
  • No overlap w/ existing

Traps

  • Tool over-prov: Bash/Write/WebFetch when only read-analyze. Start min, add as caps require.
  • Bad skill IDs: Non-existent IDs / forgetting skills. Verify: grep "id: skill-name" skills/_registry.yml.
  • Redundant defaults: meditate/heal already inherited. List only if core (mystic, alchemist, gardener, shaman).
  • Scope overlap: Duplicating existing agent. Search registry → extend existing.
  • Vague purpose: "Helps w/ dev" vs "scaffolds R pkgs w/ full struct + docs + CI". Specificity = useful + discoverable.

  • create-skill — parallel SKILL.md proc
  • create-team — compose agents → team
  • commit-changes — commit agent + registry

GitHub Repository

pjt222/agent-almanac
Pfad: i18n/caveman-ultra/skills/create-agent
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

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