个人作者

POM

更新于 2026-10-27

Skills
37
仓库
1
职业覆盖
2
场景覆盖
2
Stars
★ 98

POM 的 Skills 37

peteromallet
peteromallet/Arnold

live_supervisor

暂无简介

★ 98
peteromallet
peteromallet/Arnold

jokes

暂无简介

★ 98
peteromallet
peteromallet/Arnold

creative

暂无简介

★ 98
peteromallet
peteromallet/Arnold

hello

暂无简介

★ 98
peteromallet
peteromallet/Arnold

vibecomfy-executor

Arnold pipeline that classifies a user query, optionally researches via Hivemind/Banodoco, optionally edits a ComfyUI workflow, and always emits a final reply.

★ 98
peteromallet
peteromallet/Arnold

simplify-writing

Fan out DeepSeek Pro critics and a Kimi editor to iteratively simplify a piece of writing.

内容创作者写作与文案
★ 98
peteromallet
peteromallet/Arnold

folder-audit

Walk a directory tree and audit whether each folder's children belong at the right level of abstraction. Produces a structured JSON audit plus a nested Markdown annotated tree.

★ 98
peteromallet
peteromallet/Arnold

epic-blitz

Three-round adversarial critique of epic drafts (high / mid / low abstraction) with revision after each round. Produces a chain-ready revised epic.

★ 98
peteromallet
peteromallet/Arnold

deliberation

Deliberation Pipeline

★ 98
peteromallet
peteromallet/Arnold

deliberation

暂无简介

★ 98
peteromallet
peteromallet/Arnold

superfixer-debug

暂无简介

开发工程师
★ 98
peteromallet
peteromallet/Arnold

subagent-launcher

Launch an external model as a subagent for a second opinion, adversarial review, or delegated work. Default pathway is an agentic DeepSeek / Kimi / Zhipu GLM omp subagent (file/web/terminal tools, one process or fanned out N-wide); also Codex (GPT-5.5), Claude via the Agent tool, and Grok via omp (same x.ai token as the grok CLI). Use for independent root-cause analysis, cross-checking your reasoning, judge/jury panels, or handing implementation to a different model.

Skill与智能体开发
★ 98
peteromallet
peteromallet/Arnold

pipeline-babysitting

The merged babysitting protocol for the fix-the-fixer loop: a once-per-hour check-in that (1) checks for failures and repeated fixer misses, (2) runs the fixing loop — DeepSeek Flash swarm to understand, Grok for the recommendation, DeepSeek to implement, all inside sub-agents, biased toward fixing the fixer — and (3) escalates to extreme intervention when the fixer itself is stuck for structural reasons (its prompt missing, its engine broken), fixing the actual megaplan code itself with the same loop plus Grok sense-checks via the sub-agent launcher. Plus the three layers of fixing, evidence-first, minimalism, per-epic branch lineage, cost discipline, the living evidence doc, honest logging, the aspirational principles for harness improvements, and the anti-principles that cause the most pain. Use when deciding HOW to fix a stalled chain/fixer, when escalating a repeated blocker, when improving the Arnold/megaplan harness, or when reviewing whether a gate/pin/check is overzealous. Includes the one-command status tools (fixer-status, epic-board).

Skill与智能体开发
★ 98
peteromallet
peteromallet/Arnold

megaplan

暂无简介

★ 98
peteromallet
peteromallet/Arnold

megaplan-tickets

暂无简介

★ 98
peteromallet
peteromallet/Arnold

megaplan-prep

暂无简介

★ 98
peteromallet
peteromallet/Arnold

megaplan-observe

暂无简介

★ 98
peteromallet
peteromallet/Arnold

megaplan-epic

暂无简介

★ 98