feat(skill): agent-loop as distributable skill — workflow-engine ships AS A SKILL via behavior/data/docs separation = Data Vault 2.0 applied to AI skills + cross-harness via bun (operator 2026-05-28)#5668
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AceHack merged 1 commit intoMay 28, 2026
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…trate ships AS A SKILL via behavior/data/docs separation = Data Vault 2.0 applied to AI skills + cross-harness via bun (operator 2026-05-28 ratifications) Operator 2026-05-28 substrate-honest disclosures: 1. "when we were talking about skills and i said seperate the behavior from the data/docs this is what i was talking about these workflows can also be precisly defined skills we dsitribute most ais have bun" 2. "this is basiclaly data value applied to AI skills" + "data vault*" (autocorrect of "vault") Single SKILL.md landing at .claude/skills/agent-loop/SKILL.md per existing skill-substrate convention. Substrate-engineering compression: The behavior/data/docs separation discipline operator named for skill-design IS Data Vault 2.0 partition-by-change-rate applied at AI-skill scope: - Hub (stable business key) = SKILL.md (name + description + contract) - Link (relationships) = composes_with + internal behavior↔data↔docs - Satellite-behavior = TS code in tools/agent-loop/ (per-iteration) - Satellite-data = Git append-only state transitions (per-cycle) Each layer has distinct change-rate profile; DV2.0 partition makes each independently auditable + testable + composable. AI skills NATURALLY map to DV2.0 because bundling them mixes change-rates + makes the artifact harder to audit. Cross-harness via bun (operator: "most ais have bun"): - Claude Code (Otto-CLI / Otto-Desktop / Otto-VSCode) - Codex (Vera) - Gemini CLI (Lior) - Grok (Mika / Riven) - Kiro/Qwen (Alexa) - Any subprocess-capable AI harness with bun on PATH Composes with: - B-0867 + B-0867.5 (workflow engine v1; this skill is the v1 seed) - B-0858 (heartbeat folder — EmitHeartbeat menu writes here) - B-0868 (hats-as-workflow-definitions — each hat = state-machine instance) - B-0869 + B-0870 (DORA mandate + portfolio composition) - B-0871 (reproducibility-as-causal-attribution) - B-0866.26 (whole-company-evangelism — Jira-replacement substrate for human knowledge-work scope) - tools/dora-classify (PR #5665) — lane taxonomy matches - tools/agent-loop (PR #5666 + #5667) — behavior layer - .claude/rules/dv2-data-split-discipline-activated.md (5th always- active discipline; this skill operationalizes DV2.0 at AI-skill scope) - memory/feedback_skills_as_carved_sentences_knowledge_in_docs_datavault_2_0_pattern_aaron_2026_05_03.md (operator 2026-05-03 substrate naming the DV2.0 pattern at skill scope; THIS skill is the substrate-engineering realization) Includes: - 9 menu options table - DV2.0 hub/link/satellite mapping table - Skill-vs-library comparison table - Jira-replacement substrate table - Multi-participant scope framing (AgentPersona includes human + AI participants per operator "every human wants to work this way too") - When-to-use + when-NOT-to-use scope markdownlint clean. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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This was referenced May 28, 2026
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Summary
Operator 2026-05-28: 'when we were talking about skills and i said seperate the behavior from the data/docs this is what i was talking about these workflows can also be precisly defined skills we dsitribute most ais have bun' + 'this is basiclaly data value applied to AI skills' (autocorrect: data vault).
Adds
.claude/skills/agent-loop/SKILL.mdas the workflow-engine substrate's distributable skill bundle.Substrate-engineering compression
Behavior/data/docs separation = DV2.0 partition-by-change-rate at AI-skill scope:
Each layer independently auditable + testable + composable.
Cross-harness via bun
Most AI harnesses have bun (Claude Code / Codex / Gemini CLI / Grok / Kiro/Qwen / any subprocess-capable harness). The skill format IS the universal distribution mechanism.
Test plan
🤖 Generated with Claude Code