claude

context-engineering

Context engineering for AI agents — AI-optimized second-brain skills, durable pipeline state for multi-agent handoffs, and expert prompt building.

9 on GitHubby Andrew Novykovv1.1.0MITupdated 1 month agodevelopment
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Plugin context-engineering from marketplace hasbrains-agent-kit in endorphin-ai/hasbrains-agent-kit. Commands read from the repo's manifest — 30 days ago.

What it installs

Skills (3)

  • build-brain

    Turn a skill or raw data into an AI-optimized "second brain" skill — a lean SKILL.md map backed by atomized, tagged references and JSON navigation maps. Analyzes the source, triple-checks, and writes a before/after improvement report.

  • pipeline-state

    Durable, file-backed pipeline handoff BUS for a whole multi-agent run (the orchestrator + every worker agent). Persists per-run variables, per-phase outputs, and `.ai_log/` evidence-PATH references to a PER-SESSION, git-ignored JSON file under `.ai_log/` (`.ai_log/session-<id>-<name>.json`, one per

  • prompt-expert

    Expert prompt engineer that interviews users and builds high-quality prompts for any AI (Claude, Gemini, Copilot, ChatGPT, etc.). Use when a user wants to create a prompt, system prompt, or AI instructions from scratch — especially beginners who know what they want to achieve but don't know how to w

View source on GitHub

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Engineering discipline for AI agent systems — four always-on principles, test-driven development, verification-before-completion, system-architecture playbooks, a scope-disciplined product manager, docs/-native project management, and Claude Code → GitHub Copilot agent conversion.

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Live status line and agent telemetry — the active /command or skill run with a timer, per-subagent context bar, model, estimated cost, tokens, duration and tool count, plus a per-run report. Run /statusline-kit:setup once to switch the status line on.

1 skill · hooks

9

web-dev

claude

Multi-agent web dev pipeline — UX research and design critique around the build, plus the designer ↔ frontend contract: freeze approved mockups into a canonical oracle, port them 1:1 on any stack, and verify with screenshot-based design-diff gates.

2 skills

9

Content engine for technical creators — social posts and video scripts engineered around named copywriting frameworks, scroll-stopping hooks, and retention mechanics.

1 skill

9

teaching

claude

Interactive AI teaching pipeline — /repo-to-course turns any codebase into a structured tutorial course (markdown, GitHub Pages site, or interactive HTML).

1 command

9

Output styles that change how Claude Code writes, not what it does. Ships ASD-STE100: concise, direct, technical writing based on Simplified Technical English.

9

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