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Complete Atulya documentation for AI agents. Use this to learn about Atulya architecture, APIs, configuration, and best practices.
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Basierend auf der SOC-Berufsklassifikation
Disciplined development workflow for AI coding agents working in the Atulya monorepo — covers context gathering, branch hygiene, edit/lint/test cycle, API surface changes that require client regen, parallel vs sequential tool use, and the report-back template. Use at the start of any non-trivial Atulya coding task, or when the user asks how to "implement X", "port Y", "change the API", or "ship a feature" in this repo.
Run the Atulya repo through end-to-end system testing — toolchain check, lint, Python pytest, Rust cargo check, TypeScript build, control-plane typecheck, OpenAPI + client regen as a contract test, cross-client field smoke test, and legacy-leak audit. Use when validating a change before commit/PR, after pulling main, before a release, or when the user asks to "run all tests", "verify everything", "system sanity check", or "end-to-end test".
Design a meaningful git commit for the Atulya repo end-to-end — what commands to run to inspect the change, how to decide if it's one commit or several, how to write a message in this repo's `[type] ~ subject` convention with a structured body grouped by surface, and the exact `git add` / heredoc `git commit` invocations to use. Use whenever the user says "commit this", "git commit", "draft a commit message", "what should the commit be", or you've just finished a feature/fix and want to propose a commit before they ask.
Atulya Cortex (TUI/WhatsApp), Hand tools, internet stack (SearXNG/Firecrawl), config, and what-if troubleshooting. Use for cortex wiring, web_search/web_extract, deliberation limits, or docker internet-search compose.
Review changed code against project standards. Checks for missing tests, dead code, type safety, lint issues, and coding conventions. Run after completing any implementation work.
Execute clean Atulya releases with preflight validation, version bumping, SDK regeneration, docs deployment verification, and recovery from failed release/doc workflows. Use when shipping patch/minor releases, tagging versions, or debugging why release/docs did not publish.
| name | atulya-docs |
| description | Complete Atulya documentation for AI agents. Use this to learn about Atulya architecture, APIs, configuration, and best practices. |
Complete technical documentation for Atulya - a biomimetic memory system for AI agents.
Use this skill when you need to:
All documentation is in references/ organized by category:
references/
├── developer/
│ ├── api/ # Core operations: retain, recall, reflect, memory banks
│ └── *.md # Architecture, configuration, deployment, performance
├── sdks/
│ ├── *.md # Python, Node.js, CLI, embedded
│ └── integrations/ # LiteLLM, AI SDK, OpenClaw, MCP, skills
└── cookbook/
├── recipes/ # Usage patterns and examples
└── applications/ # Full application demos
# Core API operations
references/developer/api/*.md
# SDK documentation
references/sdks/*.md
references/sdks/integrations/*.md
# Cookbook examples
references/cookbook/recipes/*.md
references/cookbook/applications/*.md
# Find specific topics
references/**/configuration.md
references/**/*python*.md
references/**/*deployment*.md
# Search for concepts
pattern: "disposition" # Memory bank configuration
pattern: "graph retrieval" # Graph-based search
pattern: "helm install" # Kubernetes deployment
pattern: "document_id" # Document management
pattern: "ATULYA_API_" # Environment variables
# Search in specific areas
path: references/developer/api/
pattern: "POST /v1" # Find API endpoints
path: references/cookbook/
pattern: "def |async def " # Find Python examples
references/developer/api/retain.md
references/sdks/python.md
references/cookbook/recipes/per-user-memory.md
ATULYA_API_* environment variablesdocument_id for conversation evolution (same ID = upsert)Auto-generated from atulya-docs/docs/. Run ./scripts/generate-docs-skill.sh to update.