memory-summary-retrieve
Retrieve memory summaries by ID, project, or recency. Returns structured JSON with compression metrics. Use to access compressed historical context for LLM prompts.
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Retrieve memory summaries by ID, project, or recency. Returns structured JSON with compression metrics. Use to access compressed historical context for LLM prompts.
Intelligent memory search with automatic method selection. Supports semantic (vector), keyword, and recent queries. Includes fallback strategies and optional summary inclusion.
Store and retrieve memories using the BrAIny REST API. Use this skill to persist facts, notes, and messages about the user or conversation. Automatically stores context when the context window is reaching its l...
Index codebases for semantic code search. Use this skill to make a project's source code searchable via vector similarity, enabling natural language queries like "how does authentication work" or "find the data...
Index project files for semantic code search. Supports incremental updates, progress tracking, and batch embedding generation.
Manage stories, plans, and tasks in the multi-model orchestrator. Use this skill to create feature requests, generate implementation plans, and execute tasks using different Claude models (Opus, Sonnet, Haiku).
Index project files for semantic code search. Supports incremental updates, progress tracking, and batch embedding generation.
Compress memories into structured summaries using low-cost AI models (Claude Haiku, GPT-4o-mini). Triggers when memory count exceeds 50 or token estimate exceeds 40000. Outputs structured JSON with compression...
Preserves session context when context window fills. Triggers at configurable thresholds (50%/75%). Captures objective, progress, technical details, decisions, blockers, and next steps.
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