context-management
Context management specialist for multi-agent workflows and long-running tasks. Use when coordinating multiple agents, preserving context across sessions, or managing complex project state. Focuses on context compression and distribution.
What this skill does
# Context Management This skill manages context across multi-agent workflows and long-running tasks, ensuring coherent state preservation and efficient context distribution. ## When to Use This Skill - When coordinating multiple agents in a workflow - When preserving context across sessions - When managing long-running projects - When compressing context for efficiency - When distributing context to specific agents - When creating context checkpoints ## What This Skill Does 1. **Context Capture**: Extracts key decisions and rationale 2. **Context Distribution**: Prepares relevant context for each agent 3. **Memory Management**: Stores critical project decisions 4. **Context Compression**: Reduces context size while preserving key information 5. **Context Indexing**: Creates indexes for quick retrieval 6. **State Preservation**: Maintains coherent state across sessions ## How to Use ### Manage Context ``` Capture the key context from this conversation ``` ``` Prepare context for the next agent in this workflow ``` ### Specific Tasks ``` Create a context checkpoint for this project milestone ``` ## Context Formats ### Quick Context (< 500 tokens) - Current task and immediate goals - Recent decisions affecting current work - Active blockers or dependencies ### Full Context (< 2000 tokens) - Project architecture overview - Key design decisions - Integration points and APIs - Active work streams ### Archived Context - Historical decisions with rationale - Resolved issues and solutions - Pattern library - Performance benchmarks ## Best Practices ### Context Management 1. **Relevance Over Completeness**: Include only what's needed 2. **Key Decisions**: Capture rationale, not just outcomes 3. **Compression**: Reduce context while preserving meaning 4. **Indexing**: Create searchable context indexes 5. **Checkpoints**: Save context at major milestones ## Reference Files - **`references/patterns.md`** - Context management patterns, handoff templates, and multi-agent coordination ## Related Use Cases - Multi-agent coordination - Long-running project management - Context preservation across sessions - Workflow state management - Project knowledge management
Related in AI Agents
skill-development
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reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.