Context Compression — Full Protocol

Tier 2: complete compression strategy catalogue with triggers, output formats, and session continuity rules.

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Core Principle

Context window is a finite resource. Compression is not loss — it is curation. The goal is to retain decision-relevant information and discard reasoning artifacts.

Two failure modes exist:

• Under-compression: context becomes stale, bloated, and degrades response quality
• Over-compression: critical decisions or constraints are lost, causing regressions

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1. Compression Triggers

Trigger	Severity	Recommended Strategy
Responses becoming generic or less specific	Low	summarize-recent
Task switch after long implementation	Low	compress-by-task
Session handoff (HANDOFF.md creation)	Medium	tree-structured
Context window >70% used	Medium	compress-by-task or summarize-recent
Context window >90% used	High	emergency-strip
Active debugging with many failed attempts	Medium	error-only
Resuming a session cold	Any	Load L5 only, then L1–L3 fresh from files
Agent-to-agent handoff (ORBIT → GHOST)	Medium	tree-structured + task contract

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2. The Twelve Compression Strategies

2.1 summarize-recent

Use when: Session has grown long but task is continuous.
Keep: Last N decisions, current state, files actively modified, next step.
Discard: Exploratory dialogue, reasoning that led to discarded options, verbose command output.
Output length: 1–3 paragraphs.

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2.2 compress-by-task

Use when: Multiple tasks completed; switching to a new task.
Keep: Per completed task — name, outcome (DONE/BLOCKED/DONE_WITH_CONCERNS), key decision, files changed.
Discard: Implementation detail of completed tasks — only outcomes matter.
Output format:

[TASK LOG]
✓ task-001 — DONE — Created AuthService; decision: JWT over sessions (ADR-0023)
✓ task-002 — DONE — Migrated user table; files: migrations/0042_user.sql
⚠ task-003 — DONE_WITH_CONCERNS — Tests skipped; concern: missing fixture
▶ task-004 — IN PROGRESS — Implement refresh token endpoint

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2.3 tree-structured

Use when: Session handoff; creating HANDOFF.md; context must survive to next session.
Keep: Decision tree only — Problem → Options → Decision → Consequence → Status.
Discard: All implementation detail, exploratory dialogue, verbose outputs.
Why: Decisions are what must survive. Code is in git. Reasoning that was discarded is irrelevant.

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2.4 error-only

Use when: Active debugging session with accumulated error history.
Keep: Current error message (exact text), current hypothesis, last 2 fix attempts and outcomes.
Discard: All previous errors, previous hypotheses, unrelated context.
Critical: Replace, do not accumulate. Stale errors poison reasoning.

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2.5 emergency-strip

Use when: Context window >90% — immediate action required.
Keep: L1 rules reference (do not re-read, just note "CLAUDE.md loaded"), current task contract (acceptance criteria only), current error if in debug mode.
Discard: Everything else — L2, L3, L4 history, all conversation.
After strip: Reload L2 and L3 from source files — they are authoritative and current.

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2.6 decision-log

Use when: Long architecture discussion or design session.
Keep: Each decision in format: Decision: X | Rejected: Y (reason) | Consequence: Z.
Discard: All discussion leading to the decision.

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2.7 checkpoint-snapshot

Use when: Mid-task interruption; need to resume exactly where left off.
Keep: Exact line/file being edited, exact next action, any partial output.
Discard: Everything completed before the checkpoint.
Output: Feeds directly into SESSION-CHECKPOINT.md format.

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2.8 file-manifest

Use when: Large L3 source load; need to track what was read.
Keep: List of files read + reason for each + key finding per file.
Discard: Full file content (it's in the files — re-read if needed).
Format: {file} | {reason loaded} | {key finding}

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2.9 multi-agent-relay

Use when: Passing context from one agent to another (ORBIT → GHOST, CIPHER → GHOST).
Keep: Task contract (full), relevant ADR reference, governance constraints for this task.
Discard: Orchestration history, other agents' completed tasks, ORBIT's reasoning.
Format: Matches HandoffState structure in multi-agent-orchestration skill.

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2.10 spec-strip

Use when: Spec/design phase complete; moving to implementation.
Keep: Acceptance criteria (verbatim), file list from output_contract, ADR reference.
Discard: Rationale, options considered, NFR elaboration — keep only what implementation requires.

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2.11 rolling-window

Use when: Very long sessions where recency matters more than history.
Keep: Last K turns verbatim; everything older compressed to summary.
K recommendation: 5–8 turns for implementation; 3–5 turns for debugging.
Discard: Turns older than K (after summarizing decisions from them).

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2.12 semantic-dedup

Use when: Same information appears multiple times (e.g., same error repeated, same rule re-stated).
Keep: First authoritative occurrence.
Discard: All repetitions.
Why: LLMs over-weight repeated information. Dedup restores proportional attention.

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3. What to ALWAYS Preserve (Inviolable)

Regardless of which strategy is applied, these are NEVER compressed away:

• Any unresolved BLOCKED state and the reason it is blocked
• Open questions requiring human resolution (from Stop Conditions)
• Current task's acceptance criteria (verbatim — not summarized)
• ADR numbers referenced in this session
• Files with uncommitted changes (list, not content)
• Security constraints relevant to current work

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4. Compression Output Format

All compression strategies produce output in this format:

[COMPRESSED — {strategy} — {YYYY-MM-DD HH:MM}]
Session type: {interactive | batch | agent-to-agent}
Agent mode: {read-only | write-safe | admin}

Completed tasks:
  {task log using compress-by-task format}

Current state:
  Task: {active task name}
  Status: {IN_PROGRESS | BLOCKED}
  Last action: {what was just done}
  Next action: {immediate next step}

Key decisions:
  - {decision 1 — brief}
  - {decision 2 — brief}

Files with changes:
  - {file list}

Open items:
  - {blocked items or questions}

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5. Integration with Context Hierarchy

Compression operates on L4 and L5 only during active sessions:

Level	Compression Rule
L1 — Rules	NEVER compress. Re-read from file if needed.
L2 — Spec	NEVER summarize. Re-read from spec.md if needed.
L3 — Source	NEVER summarize. Source files are authoritative.
L4 — Errors	Replace each iteration. error-only strategy applies here.
L5 — History	Primary compression target. All strategies apply here.

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6. Session Type Detection

Compression strategies differ by session type:

Session Type	Signals	Best Strategy
Interactive	User typing; short turns; frequent clarifications	summarize-recent, rolling-window
Batch	Long autonomous task; few interruptions	compress-by-task, checkpoint-snapshot
Agent-to-agent	Receiving from ORBIT; outputting to another agent	multi-agent-relay, tree-structured
Debug	Many error/fix iterations	error-only
Design	Architecture discussion, ADR drafting	decision-log
Resume	Cold start from HANDOFF.md	emergency-strip then reload L1–L3

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7. Re-Compression Protocol (Iterative Summary Updates)

When a session is compressed more than once (e.g., long-running autonomous tasks, multi-day sessions), never start the summary from scratch. Instead, update the previous summary iteratively.

7.1 Why Iterative Matters

Starting fresh on re-compression loses accumulated context that was already distilled. Iterative updates preserve the full history of decisions without token cost.

7.2 Protocol

First compression:
  → Apply chosen strategy → produce [COMPRESSED — strategy — timestamp]
  → Store as current_summary in session state

Re-compression (context fills again):
  → Inject previous current_summary at top of summarization prompt
  → Instruction: "UPDATE this summary with new turns below — do not discard prior decisions"
  → Produce updated [COMPRESSED — strategy — timestamp (v2)]
  → Replace current_summary with the updated version

7.3 Re-Compression Prompt Template

You are updating an existing session summary. Do NOT start over.

EXISTING SUMMARY:
{current_summary}

NEW TURNS TO INTEGRATE:
{new_turns}

Instructions:
- Preserve all decisions from the existing summary
- Integrate new decisions, task completions, and state changes
- Update "Current state" and "Next action" to reflect newest turn
- Update "Pending verification tasks" with any new open items
- Remove items from "Open items" if they were resolved in new turns
- Do not expand — compress new turns to match existing summary density

Output the complete updated summary in the standard [COMPRESSED] format.

7.4 Pending Verification Tasks (Mandatory Section)

Add this section to the standard output format for all sessions with active verify_step tasks:

Pending verification tasks:
  - {task-id}: {verify_step.command} — {expected outcome}
  - {task-id}: manual — {steps summary}

This prevents re-answering already-verified items after re-compression.

7.5 Re-Compression Rules

• Never lose a BLOCKED state across re-compressions
• Never remove acceptance criteria of the active task
• Always update current_summary in session state before the context fills again
• Cheap pre-pass: Before calling LLM for re-compression, prune stale tool outputs from new turns (saves 5–15% tokens before summarization)

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Relationship to Other Skills

• context-engineering — L5 compression is the last level of the 5-level hierarchy
• session-handoff — tree-structured and checkpoint-snapshot feed HANDOFF.md
• multi-agent-orchestration — multi-agent-relay implements HandoffState protocol
• verification-before-completion — Gate 4 (no regressions) requires preserved task history
• self-verification — Re-compression must preserve verify_step outcomes in Pending Verification Tasks section

Quick Mode

For low-context activation, load .enterprise/governance/agent-skills/context-compression/SKILL-QUICK.md or QUICK.md first. Load this full skill for deep analysis, violation fixing, or formal review gates.