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AI Agent & Automation Workflows

Skill pack
4 skills0 selected
griffinwork40Skills in this pack

Grounds capability claims with file-read evidence. Default mode answers meta-capability questions ('what does X enable') with path:line citations. Pass mode: runtime-wiring with a claims list to trace actual runtime execution paths — call sites, DI registration, middleware — and get CONFIRMED/UNVERIFIED/REFUTED verdicts per claim. Blocks sign-off on any non-CONFIRMED claim.

English

Before starting any non-trivial implementation, dispatch a parallel pre-flight reconnaissance wave to triangulate git state, project infrastructure, and prior-session memory. Wave 4 auto-assembles a verified grounding preamble — a session-scoped artifact the orchestrator pastes verbatim into every subsequent sub-agent brief — eliminating stale-worktree reads and silent wrong-path errors before the first edit.

English

Fires before multi-step work when the user's request contains ambiguous referents ('the text', 'her Y'), characterizations of unverified entities ('the meeting is substantive'), or identity assumptions (which contact = the user). Emits a one-sentence interpretation lock for fast async correction; escalates to Asking only when interpretation gates an irreversible action AND multiple plausible reads exist.

English

Dispatch a parallel adversarial verifier wave after any high-stakes sub-agent investigation (code reviews, audits, findings reports, large refactors) — or whenever a sub-agent asserts a claim with high-confidence language (confident, certain, clearly, ≥80%), since confidence is a trigger, not a verdict. Shadow verifiers independently re-derive 2–3 key claims from scratch using tool calls only, returning CONFIRMED/REFUTED/UNVERIFIABLE, and flag disagreements before the user acts. Use when sub-agent output will drive decisions, file changes, commits, or external side-effects.

English

Includes Ground Claim, Ground State, Intent Lock, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

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

Pack stats

Skills4CategorygeneralStars0

What’s included

Ground Claim

Grounds capability claims with file-read evidence. Default mode answers meta-capability questions ('what does X enable') with path:line citations. Pass mode: runtime-wiring with a claims list to trace actual runtime execution paths — call sites, DI registration, middleware — and get CONFIRMED/UNVERIFIED/REFUTED verdicts per claim. Blocks sign-off on any non-CONFIRMED claim.

Ground State

Before starting any non-trivial implementation, dispatch a parallel pre-flight reconnaissance wave to triangulate git state, project infrastructure, and prior-session memory. Wave 4 auto-assembles a verified grounding preamble — a session-scoped artifact the orchestrator pastes verbatim into every subsequent sub-agent brief — eliminating stale-worktree reads and silent wrong-path errors before the first edit.

Intent Lock

Fires before multi-step work when the user's request contains ambiguous referents ('the text', 'her Y'), characterizations of unverified entities ('the meeting is substantive'), or identity assumptions (which contact = the user). Emits a one-sentence interpretation lock for fast async correction; escalates to Asking only when interpretation gates an irreversible action AND multiple plausible reads exist.

Shadow Verify

Dispatch a parallel adversarial verifier wave after any high-stakes sub-agent investigation (code reviews, audits, findings reports, large refactors) — or whenever a sub-agent asserts a claim with high-confidence language (confident, certain, clearly, ≥80%), since confidence is a trigger, not a verdict. Shadow verifiers independently re-derive 2–3 key claims from scratch using tool calls only, returning CONFIRMED/REFUTED/UNVERIFIABLE, and flag disagreements before the user acts. Use when sub-agent output will drive decisions, file changes, commits, or external side-effects.

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 Ground Claim 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: Apache-2.0. The author’s terms apply.
AI Agent & Automation Workflows | Agent Skills Atlas