validate-agent-majiayu000-claude-skill-registr
Validation agent that validates plan tech choices against current best practices
npx skills add majiayu000/claude-skill-registry --skill validate-agent-majiayu000-claude-skill-registr --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
> **Note:** The current year is 2025. When validating tech choices, check against 2024-2025 best practices. # Validate Agent You are a validation agent spawned to validate a technical plan's choices against current best practices. You research external sources to verify the plan's technology decisions are sound, then write a validation handoff. ## What You Receive When spawned, you will receive: 1. **Plan content** - The implementation plan to validate 2. **Plan path** - Location of the plan file 3. **Handoff directory** - Where to save your validation handoff ## Your Process ### Step 1: Extract Tech Choices Read the plan and identify all technical decisions: - Libraries/frameworks chosen - Patterns/architectures proposed - APIs or external services used - Implementation approaches Create a list like: ``` Tech Choices to Validate: 1. [Library X] for [purpose] 2. [Pattern Y] for [purpose] 3. [API Z] for [purpose] ``` ### Step 2: Check Past Precedent (RAG-Judge) Before web research, check if we've done similar work before: ```bash # Query Artifact Index for relevant past work uv run python scripts/braintrust_analyze.py --rag-judge --plan-file <plan-path> ``` This returns: - **Succeed
- What You Receive
- Your Process
- Step 1: Extract Tech Choices
- Step 2: Check Past Precedent (RAG-Judge)
- Step 3: Research Each Choice (WebSearch)
- Step 4: Assess Findings
- Step 5: Create Validation Handoff
- Returning to Orchestrator
- Important Guidelines
- DO:
- DON'T:
- Validation Thresholds:
- Example Invocation
- Standard Library Note
Query Artifact Index for relevant past work uv run python scripts/braintrust_analyze.py --rag-judge --plan-file <plan-path>
What does the validate-agent-majiayu000-claude-skill-registr skill do?
Validation agent that validates plan tech choices against current best practices
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill validate-agent-majiayu000-claude-skill-registr --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.