القائمة
RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
Describes how skills and agents from the EGC library are surfaced to a target harness, and how to inspect or install the catalog. Use when the user asks which skills/agents EGC ships, or wants to discover or install a curated profile.
Use when auditing Gemini skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.
Autonomous loop that learns while it runs: recalls stored lessons before each iteration, saves new lessons on failures and wins, and reinforces known lessons instead of repeating mistakes. Orchestrates continuous-agent-loop patterns with the egc-memory lesson tools.
Automatically extract reusable patterns from Gemini Code sessions and save them as learned skills for future use.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
| name | ralphinho-rfc-pipeline |
| description | RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration. |
| origin | EGC |
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: