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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.

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Überblick

Installationsbefehl

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

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um den Skill zu installieren

Quelle

aegntic/cldcde

Sterne10

Forks2

Aktualisiert13. März 2026 um 17:46

Datei-Explorer

24 Dateien

SKILL.md

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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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Quelle

aegntic

aegntic/cldcde

GitHub-Repository öffnen Creator-Repositorys ansehen

Installationsbefehl

Download

In Manus ausführen

Nützlich fürSOC

SoftwareentwicklerInformatik- und Mathematikberufe15-1252L4

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