Agent skill · Documentation

spec-driven-agents

Create DevForgeAI-aware Claude Code subagents with structural anti-skip enforcement (Execute-Verify-Record pattern) across all 6 phases. Prevents token optimization bias through lean orchestration, per-phase reference loading, checkpoint persistence, and artifact verification. Use when user runs /create-agent command, requests custom subagent creation with framework integration, or says "create a subagent" or "generate an agent". Supports guided, template, domain, and custom spec modes. Do NOT use for skill creation (use skill-creator) or command creation (use manual workflow).

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill spec-driven-agents-bankielewicz-devforgeai --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Version: 1.0.0
Allowed tools: -Read-Write-Edit-Glob-Grep-AskUserQuestion
Path: skills/agent/spec-driven-agents-bankielewicz-devforgeai/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Creating Agents Create DevForgeAI-aware Claude Code subagents through guided specification with framework compliance validation. **Output:** `.claude/agents/{name}.md` (subagent file) + optional reference file **Invoked by:** `/create-agent` command **Delegates to:** `agent-generator` subagent v2.0 --- ## Execution Model This skill expands inline. After invocation, execute Phase 00 Initialization immediately. Do not wait passively, ask permission, or offer execution options. **Self-Check (if ANY box is true = VIOLATION):** - [ ] Stopping to ask about token budget - [ ] Stopping to offer execution options - [ ] Waiting passively for user to say "go" - [ ] Asking "should I execute this?" - [ ] Skipping a phase because it "seems simple" - [ ] Skipping reference loading because "already covered" - [ ] Generating agent file without completing Phase 05 validation **IF any box checked:** EXECUTION MODEL VIOLATION. Go directly to Phase 00 Initialization now. --- ## Anti-Skip Enforcement Contract This skill enforces 4 independent anti-skip layers. ALL FOUR must fail for a step to be skipped: 1. **Per-phase reference loading** - Each phase loads its reference file fresh via `Read()`. NOT c

What's inside
Steps it walks through
  1. Execution Model
  2. Anti-Skip Enforcement Contract
  3. Parameter Extraction
  4. Phase 00: Initialization [INLINE - Bootstraps State]
  5. Step 0.1: Parse Arguments
  6. Step 0.2: Handle Resume Mode
  7. Step 0.3: Generate Session ID (New Session)
  8. Step 0.4: Create Initial Checkpoint
  9. Step 0.5: Display Session Banner
  10. Phase Orchestration Loop
  11. Phase Table
  12. Required Subagents
  13. State Persistence
  14. Workflow Completion Validation
Ships with 1 file
  • metadata.json
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About this skill
What does the spec-driven-agents skill do?

Create DevForgeAI-aware Claude Code subagents with structural anti-skip enforcement (Execute-Verify-Record pattern) across all 6 phases. Prevents token optimization bias through lean orchestration, per-phase reference loading, checkpoint persistence, and artifact verification. Use when user runs /create-agent command, requests custom subagent creation with framework integration, or says "create a subagent" or "generate an agent". Supports guided, template, domain, and custom spec modes. Do NOT use for skill creation (use skill-creator) or command creation (use manual workflow).

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill spec-driven-agents-bankielewicz-devforgeai --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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