Skip to main content

context-management

Auto-triggers when context is getting large or when running long sessions. Provides smart context management: when to write handoff files, how to structure state for session chaining, how to spawn fresh sessions. Activates on: long session, context pressure, session handoff, memory management, running out of context.

Quellinformationen

Repository
george11642/george-plugins
Letzte Quellaktivität
27. Februar 2026 um 04:34
Erkannte Sprache von SKILL.md
Englisch
Sterne
2
Forks
0

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
context-management
description
Auto-triggers when context is getting large or when running long sessions. Provides smart context management: when to write handoff files, how to structure state for session chaining, how to spawn fresh sessions. Activates on: long session, context pressure, session handoff, memory management, running out of context.
version
1.0.0
# Context Management for Long-Running Sessions ## The Core Problem LLMs degrade gradually starting around 30K tokens. Information in the middle of context is recalled 10-40% worse than at the edges. After ~100K tokens, you're operating at reduced capacity. ## Prevention: Keep Context Lean ### File Reading - Read only files you're about to edit - Use Grep to find specific patterns instead of reading whole files - Spawn subagents for exploratory reading — their context is separate ### Subagent Isolation - Each subagent gets its own fresh context window - Send them specific instructions, get back structured results - The main agent's context only grows by the summary, not the raw exploration ### Progressive Disclosure - Start with file names (Glob) - Then search for patterns (Grep) - Then read specific lines (Read with offset/limit) - Only read the full file when you're ready to edit it ## Detection: Know When Context Is Full Warning signs that you're approaching limits: - You've been working for 20+ tool calls without spawning subagents - You've read more than 10 files in the current session - You're re-reading files you read earlier (sign of context loss) - Your responses are getting less specific or accurate ## Recovery: The Handoff Protocol When you detect context pressure, write a handoff file: ### `.autopilot/handoff.md` Structure ```markdown # Handoff — [Timestamp] ## Current Task [What I was working on] ## What's Done - [Completed item 1] - [Completed item 2] ## What's Left - [Remaining item 1 with specific file:line references] ## Key Context - [Critical fact 1 that the next session MUST know] - [Critical fact 2] ## Failed Approaches - Tried [X], failed because [Y] — DO NOT retry ## Files Modified This Session - `path/to/file.ts` — [what changed] ## Environment State - Branch: [current branch] - Tests: [passing/failing] - Uncommitted changes: [yes/no, what] ``` ### What Makes a Good Handoff 1. **Concrete, not narrative**: File paths and line numbers, not stories 2. **Failed approaches**: The most valuable section — prevents re-doing dead ends 3. **Actual code snippets**: For complex logic, include the key 5-10 lines 4. **Decision rationale**: Not just "chose X" but "chose X because Y" 5. **Verification state**: What tests pass, what's broken ### What to Omit - General knowledge about the codebase (it's in CLAUDE.md) - Full file contents (they're on disk) - Explanations of how tools work - Narrative of the session ("First I tried...") ## The Manus Pattern: Todo Recitation For very long sessions, periodically rewrite your current task state to keep it fresh at the context boundary: - Every 10 tool calls, mentally review: "What am I doing? What's left?" - Write current state to handoff.md even if you're not switching sessions - This fights the "lost in the middle" effect
Auf GitHub ansehen