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/context-window-management

Manage LLM context budgets—prioritization, summarization, compaction, and what to load vs reference. Use for long sessions, large repos, or multi-doc tasks.

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awesome-agent-skill
26200 skills4 commands
Install
$ npx -y skills add charlieviettq/awesome-agent-skill --skill context-window-management --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/context-window-management

Context preview

The summary Claude sees to decide when to auto-load this skill.

Manage LLM context budgets—prioritization, summarization, compaction, and what to load vs reference. Use for long sessions, large repos, or multi-doc tasks.

SKILL.md

context-window-management.SKILL.md
name: context-window-management
description: "Manage LLM context budgets—prioritization, summarization, compaction, and what to load vs reference. Use for long sessions, large repos, or multi-doc tasks."
allowed-tools: Read, Glob, Grep

Context window management

Lifecycle

| Phase | Action | |-------|--------| | Bootstrap | Load spec, constraints, key paths only—not whole repo | | During task | Append deltas; replace full file reads with summaries after use | | Before compaction | Write `Session state` block (objective, done, open, paths) | | Session end | Drop tool noise; keep decisions and verification evidence |

Strategy order

1. **Do not load** — use search/read targeted files only. 2. **Reference** — pointers (paths, line ranges) instead of full paste. 3. **Summarize** — compress completed work; keep decisions and open items. 4. **Drop** — remove obsolete tool output and duplicated content.

What to keep in active context

  • Current objective and acceptance criteria
  • Constraints (env, versions, "do not touch")
  • Recent errors and fixes
  • Open questions

What to offload

  • Full file contents already summarized
  • Long command outputs (keep exit code + last N lines)
  • Exploratory branches that did not ship

Compaction pattern

## Session state (compacted)
Objective: ...
Done: ...
Open: ...
Key paths: ...
Do not repeat: [list already-established facts]

Multi-file work

  • Load one module at a time when possible.
  • Prefer ripgrep/semantic search over dumping trees.
  • For RAG: retrieve only top-k relevant chunks.

Anti-patterns

  • Pasting entire repos or logs into chat.
  • Re-explaining architecture every turn without delta.
  • Keeping failed attempts at full length after resolution.

Session setup (context engineering)

Before long tasks, establish a minimal working set:

1. **Objective block** — one paragraph: goal, non-goals, done-when 2. **Constraint block** — versions, env, files off-limits 3. **Reference map** — paths to spec, ADR, or ticket; load on demand 4. **Tool policy** — which tools/skills apply; avoid loading unused skill bodies

Refresh the objective block after major pivots; do not re-paste full history.

Pairing

Use with `rag-systems` for external knowledge; `clarify-underspecified` when scope grows mid-session; `interview-me` before loading large specs.

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Curated skill pack for LLM agents in engineer and science workflow (Cursor & Claude ready).

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