Install
Terminal · npx$
npx skills add https://github.com/vercel-labs/agent-skills --skill web-design-guidelinesWorks with Paperclip
How Hindsight Docs fits into a Paperclip company.
Hindsight Docs drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.
S
SaaS FactoryPaired
Pre-configured AI company — 18 agents, 18 skills, one-time purchase.
$27$59
Explore packSource file
SKILL.md120 linesExpandCollapse
---name: hindsight-docsdescription: Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.--- # Hindsight Documentation Skill Complete technical documentation for Hindsight - a biomimetic memory system for AI agents. ## When to Use This Skill Use this skill when you need to:- Understand Hindsight architecture and core concepts- Learn about retain/recall/reflect operations- Configure memory banks and dispositions- Set up the Hindsight API server (Docker, Kubernetes, pip)- Integrate with Python/Node.js/Rust SDKs- Understand retrieval strategies (semantic, BM25, graph, temporal)- Debug issues or optimize performance- Review API endpoints and parameters- Find cookbook examples and recipes ## Documentation Structure All documentation is in `references/` organized by category: ```references/├── best-practices.md # START HERE — missions, tags, formats, anti-patterns├── faq.md # Common questions and decisions├── changelog/ # Release history and version changes (index.md + integrations/)├── openapi.json # Full OpenAPI spec — endpoint schemas, request/response models├── 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``` ## How to Find Documentation ### 1. Find Files by Pattern (use Glob tool) ```bash# Core API operationsreferences/developer/api/*.md # SDK documentationreferences/sdks/*.mdreferences/sdks/integrations/*.md # Cookbook examplesreferences/cookbook/recipes/*.mdreferences/cookbook/applications/*.md # Find specific topicsreferences/**/configuration.mdreferences/**/*python*.mdreferences/**/*deployment*.md``` ### 2. Search Content (use Grep tool) ```bash# Search for conceptspattern: "disposition" # Memory bank configurationpattern: "graph retrieval" # Graph-based searchpattern: "helm install" # Kubernetes deploymentpattern: "document_id" # Document managementpattern: "HINDSIGHT_API_" # Environment variables # Search in specific areaspath: references/developer/api/pattern: "POST /v1" # Find API endpoints path: references/cookbook/pattern: "def |async def " # Find Python examples``` ### 3. Read Full Documentation (use Read tool) ```references/developer/api/retain.mdreferences/sdks/python.mdreferences/cookbook/recipes/per-user-memory.md``` ## Start Here: Best Practices Before reading API docs, read the best practices guide. It covers practical rules for missions, tags, content format, observation scopes, and anti-patterns — the fastest way to integrate correctly. ```references/best-practices.md``` ## Key Concepts - **Memory Banks**: Isolated memory stores (one per user/agent)- **Retain**: Store memories (auto-extracts facts/entities/relationships)- **Recall**: Retrieve memories (4 parallel strategies: semantic, BM25, graph, temporal)- **Reflect**: Disposition-aware reasoning using memories- **document_id**: Groups messages in a conversation (upsert on same ID)- **Dispositions**: Skepticism, literalism, empathy traits (1-5) affecting reflect- **Mental Models**: Consolidated knowledge synthesized from facts ## Notes - Code examples are inlined from working examples- Configuration uses `HINDSIGHT_API_*` environment variables- Database migrations run automatically on startup- Multi-bank queries require client-side orchestration- Use `document_id` for conversation evolution (same ID = upsert) --- **Auto-generated** from `hindsight-docs/docs/`. Run `./scripts/generate-docs-skill.sh` to update.Related skills
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