lead-intelligence
AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.
- License 许可
- Apache-2.0
- 最近更新
- 2026-11-08
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- converge-loop
- description
- Multi-round gap-analysis convergence loop — sweep a product across dimensions (UIUX, login, services, payments, system), fix what is fixable each round, re-audit, and stop when consecutive rounds find nothing new. Produces a categorized Chinese report. NOT a one-shot audit or the corrections-rules meta-audit (/audit).
- when_to_use
- 直到converge, 收敛循环, gap分析, 找出所有问题, loop审核, 一轮一轮查, 找不出新毛病, converge loop, gap analysis loop, keep fixing until converged
- user_invocable
- true
02 资源文件 5
- 参考文档agents/enrichment-agent.md2.3 KB
- 参考文档agents/mutual-mapper.md2.5 KB
- 参考文档agents/outreach-drafter.md3.0 KB
- 参考文档agents/signal-scorer.md2.0 KB
- 参考文档prompt.md3.7 KB
03 SKILL.md 正文
Converge Loop
Drive a product to convergence: repeated rounds of gap discovery across
agreed dimensions, fixing reversible findings in-round, parking the rest
with recommendations, stopping when new-findings dry up. The executable
instructions live in prompt.md; this body is the Codex-facing summary.
Key contracts:
- Every finding carries evidence (file:line, URL, or log excerpt) and a dimension × severity classification. Findings without evidence are dropped.
- Fixable = reversible AND unambiguous. Those are fixed in-round, verified by the project's real gate plus a live re-probe, and committed small.
- Everything else is parked with a recommendation (
.claude/decisions.md/.claude/blockers.md), never silently dropped, never used to stop the loop. - Convergence is explicit: default stop rule is two consecutive rounds with zero new P1/P2 findings (cap: 8 rounds). The final report is in Chinese, categorized by dimension and severity, listing fixed work with evidence, parked items with reasons, and mechanism gaps ("how would we know this succeeded" monitoring that does not exist).
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