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AI Agent Workflow Collection

Skill pack
3 skills0 selected
zkysar1Skills in this pack

Phase 4 of the aspirations loop: executes a selected goal end-to-end with precondition checks, LLM-driven intelligent retrieval, memory deliberation, subagent delegation, primary execution, fail-fast cascade, experience archival, context-utilization feedback, domain post-execution steps (commit/push per world/conventions), knowledge reconciliation, and batch execution. Fires only when called from inside the /aspirations orchestrator — after /aspirations-select has chosen a goal and /decompose has broken it into primitives. Never invoke directly from reader or assistant mode.

English

Runs pre-selection checks at the start of every aspirations-loop iteration: completion runners, aspiration health, guardrail checks, blocker resolution re-probe, zombie-aspiration scan (Phase 0.5.0a), and recurring-goal surfacing. Use whenever the aspirations loop starts a new iteration and needs to tidy state before /aspirations-select runs. Internal sub-skill — invoked only from inside the orchestrator, never by the user.

English

Generates a complete sprint-planning backlog as copy-pasteable markdown: all aspirations, goals, scores, blockers, and user action items, written to {agent}/BACKLOG.md with a compact terminal summary. Use whenever the user says \"show me the backlog\", \"give me sprint planning material\", \"what's in the queue\", or needs pasteable content for a planning doc or standup. User-invocable AND agent-callable; valid in any mode including reader.

English

Includes Aspirations Execute, Aspirations Precheck, and Backlog Report.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

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

Pack stats

Skills3CategorygeneralStars0

What’s included

Aspirations Execute

Phase 4 of the aspirations loop: executes a selected goal end-to-end with precondition checks, LLM-driven intelligent retrieval, memory deliberation, subagent delegation, primary execution, fail-fast cascade, experience archival, context-utilization feedback, domain post-execution steps (commit/push per world/conventions), knowledge reconciliation, and batch execution. Fires only when called from inside the /aspirations orchestrator — after /aspirations-select has chosen a goal and /decompose has broken it into primitives. Never invoke directly from reader or assistant mode.

Aspirations Precheck

Runs pre-selection checks at the start of every aspirations-loop iteration: completion runners, aspiration health, guardrail checks, blocker resolution re-probe, zombie-aspiration scan (Phase 0.5.0a), and recurring-goal surfacing. Use whenever the aspirations loop starts a new iteration and needs to tidy state before /aspirations-select runs. Internal sub-skill — invoked only from inside the orchestrator, never by the user.

Backlog Report

Generates a complete sprint-planning backlog as copy-pasteable markdown: all aspirations, goals, scores, blockers, and user action items, written to {agent}/BACKLOG.md with a compact terminal summary. Use whenever the user says \"show me the backlog\", \"give me sprint planning material\", \"what's in the queue\", or needs pasteable content for a planning doc or standup. User-invocable AND agent-callable; valid in any mode including reader.

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 Aspirations Execute 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.