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Minimal, pattern-matching code output. Write the least code that satisfies requirements. Match existing project patterns. Use Write/Edit tools only.

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a5c-ai/babysitter18632026年9月17日 更新

Dynamic context injection, mode switching (dev/review/research), selective loading, and strategic compaction for token optimization.

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a5c-ai/babysitter18632026年9月17日 更新

Track beads as git-backed issues with persistent attribution, supporting Gas Town's bead lifecycle and convoy progress monitoring.

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a5c-ai/babysitter18632026年9月17日 更新

Continuous monitoring using Deacon/Witness patterns for agent health checks, stuck detection, and automated recovery.

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a5c-ai/babysitter18632026年9月17日 更新

Git-backed state management for safe rollback. Create and restore checkpoints with tagged commits and metadata tracking.

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a5c-ai/babysitter18632026年9月17日 更新

Manage agent sessions including initialization, handoffs, revival (seance), and persistent identity for Polecats and Crew agents.

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a5c-ai/babysitter18632026年9月17日 更新

atlas

免费

Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)

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a5c-ai/babysitter18632026年9月17日 更新

Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)

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a5c-ai/babysitter18632026年9月17日 更新

Use when adding a new agent harness (CLI-based coding agent) adapter to adapters. Covers capability audit, adapter scaffold, session parsing, auth detection, hooks/plugins wiring, tests, and docs.

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a5c-ai/babysitter18632026年9月17日 更新

This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.

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a5c-ai/babysitter18632026年9月17日 更新

System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.

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a5c-ai/babysitter18632026年9月17日 更新

For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirroring the /babysitter:retrospect workflow but applied to an external repo. Invoke when asked to "retrospect on repo X's run", "analyze how someone else used babysitter", or "review an external babysitter run".

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a5c-ai/babysitter18632026年9月17日 更新

Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.

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a5c-ai/babysitter18632026年9月17日 更新

Decompose goals into MEOWs (Molecular Expressions of Work) - trackable atomic units following Gas Town's bead-based work model.

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a5c-ai/babysitter18632026年9月17日 更新

Process the Refinery merge queue - collect agent work, detect and resolve conflicts, merge in dependency order, and verify integration.

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a5c-ai/babysitter18632026年9月17日 更新

Author TOML-based Formula workflow templates that become Protomolecules and active Molecules in Gas Town's durable workflow system.

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a5c-ai/babysitter18632026年9月17日 更新

Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.

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a5c-ai/babysitter18632026年9月17日 更新

Red-Green-Refactor TDD methodology with mandatory failing tests, minimal implementation, quality refactoring, and 80% coverage gating.

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a5c-ai/babysitter18632026年9月17日 更新

Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.

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a5c-ai/babysitter18632026年9月17日 更新

Cross-domain pattern analysis with personal, professional, and project domain synthesis

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a5c-ai/babysitter18632026年9月17日 更新

Save URLs with auto-extracted insights, credibility scoring, and vault routing

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a5c-ai/babysitter18632026年9月17日 更新

Personalize COG Second Brain workflow through role pack selection and vault initialization

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a5c-ai/babysitter18632026年9月17日 更新

Process meeting recordings and transcripts into decisions, action items, and team dynamics

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a5c-ai/babysitter18632026年9月17日 更新

Generate personalized verified news briefs with 7-day freshness and 95%+ source accuracy

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a5c-ai/babysitter18632026年9月17日 更新

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