memory-optimization

Plugin memory-optimization from marketplace agent-powerups in yeaight7/agent-powerups. Commands read from the repo's manifest — 1 month ago.

Skills (8)

• defuddle

  Use when the user provides a URL to a standard web page and clean Markdown extraction with Defuddle would reduce clutter and token cost.

• graphify

  any input (code, docs, papers, images) → knowledge graph → clustered communities → HTML + JSON + audit report. Use when the user wants to build, inspect, or query a cross-file knowledge graph from code, docs, papers, images, or videos with upstream graphify.

• markitdown-file-intake

  Use when the user provides a MarkItDown-supported file or URL and converting it to Markdown first will make inspection easier, cheaper, or more reliable.

• memory-build-workflow

  Use when a user needs to build or refresh persistent graph memory from a mixed corpus and the right path may include graphify, incremental update, or helper conversion before ingestion.

• memory-optimization-workflow

  Use when deciding the lowest-cost context path for a mixed corpus, especially when choosing among direct reading, helper conversion, graph build, graph update, or graph query.

• memory-query-workflow

  Use when a graph already exists and the user needs retrieval, tracing, explanation, or gap detection from graph memory before reopening the full corpus.

• search-before-building

  Use when about to add a new helper, utility, or abstraction, a task sounds like a solved problem, a new external dependency is being considered, or custom code is proposed without checking what already exists.

• using-powerups

  Use when starting work in a repository with Agent Powerups installed, when a task may match a reusable local skill, command, workflow, hook recipe, AGENTS.md template, or MCP feature.

Slash commands (3)

• /memory-optimization:memory-build

  Build or refresh graph-backed memory for a corpus, using graphify first and helper conversions only when they improve corpus quality.

• /memory-optimization:memory-optimize

  Choose the cheapest context path across direct read, markdown conversion, graph build, graph update, or graph query.

• /memory-optimization:memory-query

  Query an existing graphify graph before rereading the full corpus, using query, path, or explain flows.

Subagents (2)

• graph-memory-curator

  Orchestrates graphify-centered memory build, refresh, and query flows for mixed corpora, using helper-tool preprocessing only when it materially improves graph input quality.

• memory-optimizer

  Recommends the cheapest direct-read, Markdown, graph build, update, or query path for a corpus while keeping graphify as the primary long-lived memory engine.

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