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AI Agent & Automation Workflows

Skill pack
9 skills0 selected
rafaelnovaes22Skills in this pack

Builds versioned system prompt of an artifact (platform-sku, product, diagnostic) from spec + process-map + baseline-cost + Tier 1 helpers. Tier 3 operational — produces prompts/{artifactid}/v{version}/system.md with sha256:16 prompthash, mandatory C6 instrumentation, and zero per-tenant hardcode (C8). Triggers recalcuniteconomics.

English

Calculates baseline economics for C3 gate. For agentic (aienabled=true): human cost × volume → minpriceperoutcome via costperoutcome model. For platform (aienabled=false): (infra + support + maintenance) / revenue → platformmargin model. Persists docs/clients/{clientid}/baseline-cost-{processid}.md or docs/modules/{moduleid}/delivery-economics-{moduleid}.md.

English

Loads and exposes the organization's DNA (purpose, mission, values, north-star) in compact YAML for Tier 1 strategic context. Caches under foundrycache.dna for downstream skills.

English

Conducts a guided 10-block Phase 0 diagnostic session with the client decision-maker — qualifies problem, measures human baseline, proposes contractual outcome, validates ICP fit, and persists docs/clients/{clientid}/diagnostic.md. Implements C1 and opens C2.

English

Generates eval cases for an artifact from real human/agent pairs (preferred) or declared synthetic cases (fallback). Persists in evals/{artifactid}/cases/case-{n}.md. Tier 3 — implements C4 (≥30 cases per outcomecategory before SHADOW), C2 (justified ground truth), C6 (traceability to source trace).

English

Orchestrates the monthly audit of a Foundry-consuming project against Constitution C1-C8 (+ declared extensions). Loads manifest, primes Tier 1 caches via L0 loaders, parallelizes per-principle checks via task sub-agents, consolidates findings in docs/foundry/audits/{YYYY-MM}.md compatible with reviewer/output-schema.json. Native Deep Agents skill (no Claude Code source).

English

Loads and exposes the organization's Ideal Customer Profile (segments, qualification signals, anti-ICP) in compact YAML for Tier 1 strategic context.

English

Loads and exposes the organization's offerings catalog (products, platform-SKUs, diagnostics) with lifecyclestage and pricingmodel in compact YAML for Tier 1.

English

Coordinates SHADOW mode (C4) — agent runs parallel to human, output NEVER delivered/billed, measures human/agent agreement, produces promotion report. Tier 3 — enforces C4 mechanically (≥14 days, delivered:false, billing:0, prompthash immutable during window) and produces recommendation BUT does not auto-promote.

English

Includes Artifact Prompt Builder, Baseline Cost Builder, Company Dna, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills9CategorygeneralStars0

What’s included

Artifact Prompt Builder

Builds versioned system prompt of an artifact (platform-sku, product, diagnostic) from spec + process-map + baseline-cost + Tier 1 helpers. Tier 3 operational — produces prompts/{artifactid}/v{version}/system.md with sha256:16 prompthash, mandatory C6 instrumentation, and zero per-tenant hardcode (C8). Triggers recalcuniteconomics.

Baseline Cost Builder

Calculates baseline economics for C3 gate. For agentic (aienabled=true): human cost × volume → minpriceperoutcome via costperoutcome model. For platform (aienabled=false): (infra + support + maintenance) / revenue → platformmargin model. Persists docs/clients/{clientid}/baseline-cost-{processid}.md or docs/modules/{moduleid}/delivery-economics-{moduleid}.md.

Company Dna

Loads and exposes the organization's DNA (purpose, mission, values, north-star) in compact YAML for Tier 1 strategic context. Caches under foundrycache.dna for downstream skills.

Diagnostic Runner

Conducts a guided 10-block Phase 0 diagnostic session with the client decision-maker — qualifies problem, measures human baseline, proposes contractual outcome, validates ICP fit, and persists docs/clients/{clientid}/diagnostic.md. Implements C1 and opens C2.

Eval Case Author

Generates eval cases for an artifact from real human/agent pairs (preferred) or declared synthetic cases (fallback). Persists in evals/{artifactid}/cases/case-{n}.md. Tier 3 — implements C4 (≥30 cases per outcomecategory before SHADOW), C2 (justified ground truth), C6 (traceability to source trace).

Foundry Auditor

Orchestrates the monthly audit of a Foundry-consuming project against Constitution C1-C8 (+ declared extensions). Loads manifest, primes Tier 1 caches via L0 loaders, parallelizes per-principle checks via task sub-agents, consolidates findings in docs/foundry/audits/{YYYY-MM}.md compatible with reviewer/output-schema.json. Native Deep Agents skill (no Claude Code source).

Icp Loader

Loads and exposes the organization's Ideal Customer Profile (segments, qualification signals, anti-ICP) in compact YAML for Tier 1 strategic context.

Offerings Loader

Loads and exposes the organization's offerings catalog (products, platform-SKUs, diagnostics) with lifecyclestage and pricingmodel in compact YAML for Tier 1.

Shadow Mode Runner

Coordinates SHADOW mode (C4) — agent runs parallel to human, output NEVER delivered/billed, measures human/agent agreement, produces promotion report. Tier 3 — enforces C4 mechanically (≥14 days, delivered:false, billing:0, prompthash immutable during window) and produces recommendation BUT does not auto-promote.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Artifact Prompt Builder skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: MIT. The author’s terms apply.
AI Agent & Automation Workflows | Agent Skills Atlas