mcpbeat

Compress Session

pedrohcgs/compress-session

Distill the current conversation into a structured note (decisions made, open questions, file pointers with line numbers, next 1–3 actions) and save to `quality_reports/session_logs/` before auto-compression. Differs from `/checkpoint` (explicit stop-point snapshot) and from auto-compaction (which truncates rather than distills). Use when context is approaching auto-compact threshold, when a long pipeline has accumulated many decisions, or when the user says "compress", "distil this session", "before we hit auto-compact", "structured handoff before context resets".

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1440
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/pedrohcgs/claude-code-my-workflow --skill compress-session

The instruction itself

13 sections, as written by the author

/compress-session — distil, don't truncate

Auto-compaction is lossy: it keeps recent turns and drops earlier ones, with no preservation of *what was decided* mid-session. /compress-session is the distil-not-truncate alternative — produce a structured note that the next session can resume from in under a minute.

Why this skill exists

Drew Breunig's "How Long Contexts Fail" identifies four failure modes for long-context sessions:

  • Poisoning — early hallucinated content gets quoted by later turns, compounding the error.
  • Distraction — irrelevant earlier context dilutes the model's attention to current task.
  • Confusion — contradicted facts pile up; the model doesn't know which to trust.
  • Clash — multiple plans, decisions, or specs accumulate without explicit reconciliation.

The template's 200-line MEMORY.md cap defends against *distraction*. The plan-on-disk convention defends against *clash*. Nothing currently defends against *poisoning* or directly against *confusion* — that's what this skill is for.

Distinction from /checkpoint

| | /checkpoint | /compress-session |

|---|---|---|

| When | Explicit stop-point (end of working session, before model switch, before collaborator handoff) | Forced — context is about to auto-compact, or the conversation has accumulated enough noise that distillation pays for itself |

| What's preserved | Active plan, decisions, file pointers, next 1–3 actions | Same, plus an explicit "discarded as noise" line so the next session knows what was *intentionally* not kept |

| Output location | quality_reports/checkpoints/YYYY-MM-DD_<slug>.md | quality_reports/session_logs/YYYY-MM-DD_compression_<slug>.md |

| Triggering | User-invoked at a natural pause | User-invoked when context fatigue shows, OR proposed via PreCompact hook |

| Memory updates | Optional auto-proposal of [LEARN] entries | Always proposes [LEARN] entries — distillation is exactly the moment when generalizable lessons surface |

Both skills are companions to the narrative session-log workflow at quality_reports/session_logs/. None replaces the others.

When to use

  • Context is approaching auto-compact. /context-status reports approaching threshold.
  • A long pipeline has accumulated noise. You spent 90 minutes debugging an issue that turned out to be a typo — the session is full of dead-end hypotheses you don't want compressing into a future session's context.
  • Mid-plan handoff. Different model, different machine, different collaborator.
  • PreCompact hook triggered. The hook can call /compress-session automatically if the user has wired it in.

When NOT to use

  • For a quick stop-point. Use /checkpoint.
  • For narrative session logging. That happens incrementally via the Stop hook (session-logging.md); no skill needed.
  • For starting a fresh session. Use /clear. /compress-session is for preserving state, not for resetting.

Steps

Step 1: Identify the session

Read the most recent session log under quality_reports/session_logs/. If none exists, treat the current conversation as the source.

Optionally use $ARGUMENTS as a topic slug for the output filename.

Step 2: Distil into structured sections

Produce a note with these sections:

# Session Compression — <YYYY-MM-DD> <topic-slug>

**Source:** <session-log file or "current conversation">
**Token budget at compression:** <approximate %>
**Why compress now:** <approaching auto-compact | mid-plan handoff | accumulated noise | user-requested>

## Active state

- **Plan:** [link to active plan in `quality_reports/plans/` or "no active plan"]
- **Branch:** <git branch>
- **Last commit:** <SHA + subject>
- **Working tree:** <clean | N modified files>

## Decisions made (this session)

1. [Decision]. **Why:** [one sentence]. **Where recorded:** [file:line, plan, or memory].
2. ...

## Files touched

- [path:line] — [what changed, one sentence]
- ...

## Open questions

- [Question]. **Blocker?** [Yes/No]. **Where to resume:** [pointer].
- ...

## Next actions (1–3 only)

1. [Specific next step with file pointer]
2. ...

## Discarded as noise

Things explored during this session that should NOT carry forward — failed hypotheses, abandoned approaches, debugging dead-ends. Listing them explicitly defends against [Breunig's "poisoning" failure mode](https://www.dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html) (hallucinated / wrong content from early turns getting quoted later).

- [Hypothesis / approach / dead-end] — [why it didn't work]
- ...

## Proposed `[LEARN]` entries

Lessons worth promoting to MEMORY.md (or personal-memory.md if machine-specific). User reviews; nothing auto-merged.

- `[LEARN:<category>]` <lesson>. **Evidence:** <pointer>.
- ...

Step 3: Save

Write to quality_reports/session_logs/YYYY-MM-DD_compression_<topic>.md (slug derived from $ARGUMENTS or current plan name).

Step 4: Surface a summary

Report to the user:

  • Saved path.
  • Counts (decisions made, files touched, open questions, next actions).
  • Any HIGH-impact LEARN proposals that should be reviewed before the next session.

The user reviews. Nothing auto-merges into MEMORY.md — that's /promote-memory's job.

Pairing with PreCompact hook

Forkers who want automatic compression can wire /compress-session into the PreCompact hook:

{
  "hooks": {
    "PreCompact": [{
      "hooks": [{
        "type": "command",
        "command": "echo 'Run /compress-session before compacting' && exit 2",
        "timeout": 5
      }]
    }]
  }
}

The hook surfaces a reminder; the user runs /compress-session manually. We deliberately don't make the hook *auto-invoke* the skill — that bypasses the user's review step.

Anti-patterns

  • Do not run /compress-session as a routine replacement for /checkpoint. Checkpoints are cheap and frequent; compressions are heavier and reserved for forced compression.
  • Do not let the "Discarded as noise" section grow indefinitely. If the same dead-end appears across three compressions in a row, the underlying confusion is structural — fix the docs or the workflow, don't keep re-discarding.
  • Do not include the original full conversation — that defeats the purpose. Distillation is the point.

Output

  • Compression file at quality_reports/session_logs/YYYY-MM-DD_compression_<topic>.md (gitignored — session-state, not version-controlled).
  • Summary in the conversation: counts + HIGH-impact [LEARN] proposals.
  • No file edits outside the compression file.

How to use it

Copy the folder

Take pedrohcgs/compress-session from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.