Execute qualquer Skill no Manus
com um clique

Execute qualquer Skill no Manus com um clique

ae-proof-agent

Diligence-grade product and technical analysis for the ae.ltd proof-agent concept, including comparison against Cursor and Omnara, MVP and production architecture, red-team review, and build-vs-buy evaluation. Use when Codex needs to create or critique PRDs, tech specs, competitive diligence, leadership memos, or multi-agent evaluation packs for agent-runtime, demo-agent, or proof-agent products.

Executar no Manus

Visão geral

Comando de instalação

npx skills add https://github.com/aegntic/cldcde --skill ae-proof-agent

Copie e cole este comando no Claude Code para instalar a skill

Fonte

aegntic/cldcde

Estrelas10

Forks2

Atualizado13 de março de 2026 às 17:46

Explorador de arquivos

24 arquivos

SKILL.md

readonly

name	ae-proof-agent
description	Diligence-grade product and technical analysis for the ae.ltd proof-agent concept, including comparison against Cursor and Omnara, MVP and production architecture, red-team review, and build-vs-buy evaluation. Use when Codex needs to create or critique PRDs, tech specs, competitive diligence, leadership memos, or multi-agent evaluation packs for agent-runtime, demo-agent, or proof-agent products.

ae-proof-agent

Read references/RESEARCH-GUARDRAILS.md first.

Then use the bundle in this order:

Read references/COMPETITIVE-DILIGENCE.md.
Use references/PRD.md and references/TECHSPEC.md as the base spec.
Run the prompt chain in prompts/ when generating comparable multi-agent outputs.
Score outputs with templates/SCORECARD.md.
Assemble the final memo with templates/FINAL-REPORT-OUTLINE.md.

Rules:

Separate Verified, Inference, and Unknown.
Do not invent backend details, customer metrics, or infra choices.
Use exact dates for recent releases and product changes.
Prefer primary sources when browsing is required.
Optimize for decision quality, not volume.

Use the prompt chain like this:

prompts/01-DISCOVERY.md for a source-grounded brief
prompts/02-PRD.md for product requirements
prompts/03-TECHSPEC.md for implementation planning
prompts/04-REDTEAM.md for failure analysis
prompts/05-SYNTHESIS.md for the final leadership memo

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Fonte

aegntic

aegntic/cldcde

Abrir repositório GitHub Ver repositórios do creator

Comando de instalação

Download

Executar no Manus

Útil paraSOC

Desenvolvedores de softwareInformática e Matemática15-1252L4

name	ae-proof-agent
description	Diligence-grade product and technical analysis for the ae.ltd proof-agent concept, including comparison against Cursor and Omnara, MVP and production architecture, red-team review, and build-vs-buy evaluation. Use when Codex needs to create or critique PRDs, tech specs, competitive diligence, leadership memos, or multi-agent evaluation packs for agent-runtime, demo-agent, or proof-agent products.

ae-proof-agent

Read references/RESEARCH-GUARDRAILS.md first.

Then use the bundle in this order:

Read references/COMPETITIVE-DILIGENCE.md.
Use references/PRD.md and references/TECHSPEC.md as the base spec.
Run the prompt chain in prompts/ when generating comparable multi-agent outputs.
Score outputs with templates/SCORECARD.md.
Assemble the final memo with templates/FINAL-REPORT-OUTLINE.md.

Rules:

Separate Verified, Inference, and Unknown.
Do not invent backend details, customer metrics, or infra choices.
Use exact dates for recent releases and product changes.
Prefer primary sources when browsing is required.
Optimize for decision quality, not volume.

Use the prompt chain like this:

prompts/01-DISCOVERY.md for a source-grounded brief
prompts/02-PRD.md for product requirements
prompts/03-TECHSPEC.md for implementation planning
prompts/04-REDTEAM.md for failure analysis
prompts/05-SYNTHESIS.md for the final leadership memo