Summary
This is a structured pipeline for breaking down implementation tasks across specialized agents. Each stage (research, planning, validation, implementation, review) runs as a background task that writes outputs to the filesystem instead of flooding your main context. The pattern enforces TDD and uses NIA Oracle for research upfront, then hands off artifacts between agents via markdown files in .claude/cache/agents/. The key insight here is using file-based handoff instead of TaskOutput to avoid 70k token transcripts clogging your conversation. It's orchestration code, meant to keep your main context clean while agents do the heavy lifting in isolation.
Install to Claude Code
npx -y skills add parcadei/continuous-claude-v3 --skill agentic-workflow --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
