From ecc
Orchestrates large features via RFC decomposition into verifiable work units in a multi-agent DAG, with quality gates, merge queues, complexity tiers, and recovery. Use for complex, multi-pass tasks.
npx claudepluginhub darklegend5/heiba-claude-codeThis skill uses the workspace's default tool permissions.
Inspired by [humanplane](https://github.com/humanplane) style RFC decomposition patterns and multi-unit orchestration workflows.
Generates platform-native social content for X, LinkedIn, TikTok, YouTube, newsletters from source material like articles, demos, docs, or notes. Adapts voice and format per platform.
Caches expensive file processing (PDFs, text extraction, images) using SHA-256 content hashes for path-independent, auto-invalidating JSON storage in Python.
Reorganizes X and LinkedIn networks: review-first pruning of low-value follows, priority-based add/follow recommendations, and drafts warm outreach in user's voice.
Inspired by humanplane style RFC decomposition patterns and multi-unit orchestration workflows.
Use this skill when a feature is too large for a single agent pass and must be split into independently verifiable work units.
Each work unit should include:
iddepends_onscopeacceptance_testsrisk_levelrollback_planIf a unit stalls: