Agent skill · Workflow & Productivity

validate-agent

Validation agent that validates plan tech choices against current best practices

parcadeigithub.com/parcadeiGitHub ↗
claude-codeMIT
Install
npx skills add parcadei/Continuous-Claude-v3 --skill validate-agent --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: .claude/skills/validate-agent/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,879
Language: Python
Read our review of the source →

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

From the SKILL.md

> **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's inside
Steps it walks through
  1. What You Receive
  2. Your Process
  3. Step 1: Extract Tech Choices
  4. Step 2: Check Past Precedent (RAG-Judge)
  5. Step 3: Research Each Choice (WebSearch)
  6. Step 4: Assess Findings
  7. Step 5: Create Validation Handoff
  8. Returning to Orchestrator
  9. Important Guidelines
  10. DO:
  11. DON'T:
  12. Validation Thresholds:
  13. Example Invocation
  14. Standard Library Note
Commands it runs
Query Artifact Index for relevant past work
uv run python scripts/braintrust_analyze.py --rag-judge --plan-file <plan-path>
More from Continuous-Claude-v3
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About this skill
What does the validate-agent skill do?

Validation agent that validates plan tech choices against current best practices

How do I install it?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill validate-agent --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 parcadei/Continuous-Claude-v3, a repository with 3,879 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.

Keep going