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Checkpoint

ASecurity

Save a structured state snapshot before stopping or handing off. Captures the active plan, recent decisions, file pointers (with line numbers), open questions, and the next 1–3 actions into a checkpoint file under `quality_reports/checkpoints/`. Optionally proposes `[LEARN]` entries to add to MEMORY.md. Use when user says "checkpoint", "save state", "snapshot before I stop", "where am I", "wrap up the session for handoff", or before a long break / model switch / collaborator handoff. Companio...

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Added 6/11/2026
researchgobashgit

Works with

claude code

Security Analysis

A100/100

Scanned 6/11/2026

Install to Claude Code

$npx -y skills add pedrohcgs/claude-code-my-workflow --skill checkpoint --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: checkpoint
description: Save a structured state snapshot before stopping or handing off. Captures the active plan, recent decisions, file pointers (with line numbers), open questions, and the next 1–3 actions into a checkpoint file under `quality_reports/checkpoints/`. Optionally proposes `[LEARN]` entries to add to MEMORY.md. Use when user says "checkpoint", "save state", "snapshot before I stop", "where am I", "wrap up the session for handoff", or before a long break / model switch / collaborator handoff. Companion to (NOT replacement for) the narrative session-log workflow.
author: Claude Code Academic Workflow
version: 1.0.0
argument-hint: "[short-topic-slug] [--no-memory]"
disable-model-invocation: true
allowed-tools: ["Read", "Write", "Bash"]
---

<!-- Pattern adapted from Hugo Sant'Anna's clo-author v4.2.0 (github.com/hugosantanna/clo-author),
     used with permission. Original /checkpoint shape: project-level session handoff with
     state snapshot + memory updates. This implementation is reimplemented in original
     prose against this template's narrative-session-log + plan-on-disk + auto-memory
     architecture. Attribution credit: Hugo Sant'Anna. -->

# /checkpoint — Structured Session Handoff

Produce a state snapshot that the next session (yours, or a collaborator's, or a fresh-context reboot) can resume from in under a minute. The narrative `quality_reports/session_logs/` continues to live separately — `/checkpoint` writes the *structured* side: facts, file pointers, and next-actions.

## When to use

- Before a long break, model switch (Opus ↔ Sonnet ↔ Haiku), or end of a working day.
- Before auto-compaction would otherwise discard mid-plan context (paired with the PreCompact hook).
- Before handing off to a collaborator on the same repo.
- After completing a chunk of a multi-session plan, when "where am I" is the first question the next session will ask.

## When NOT to use

- For the narrative *what happened* — that lives in `quality_reports/session_logs/` (see `.claude/rules/session-logging.md`).
- For commit messages — those go through `/commit`, which writes its own structured commit body.
- For decisions about alternatives — those go to `templates/decision-record.md` via `quality_reports/decisions/`.

The three artifact types are complementary: **session-log = narrative**, **decision-record = trade-off captured**, **checkpoint = state to resume from**.

## Workflow

### PHASE 1 — Gather state

Read, in this order:

1. **Most recent plan** — `ls -t quality_reports/plans/*.md | head -1`. Extract: status (DRAFT / APPROVED / COMPLETED), title, top-level files-to-modify list, and any line that begins with "Open questions" / "Risks" / "Next".
2. **Most recent session log** — `ls -t quality_reports/session_logs/*.md | head -1`. Extract: latest "Next steps" or "Blockers" lines.
3. **MEMORY.md** root — read the table of `[LEARN]` entries already on disk so you don't propose duplicates.
4. **Git state** — `git log --oneline -20`, `git status -s`, `git branch --show-current`. Capture: current branch, last 5 subjects, uncommitted file count.
5. **Working files** — `git diff --stat HEAD` to see which files changed in this session (skip if branch is freshly cut; just say "no in-session edits").
6. **Active TODOs** — if a TodoWrite list is in flight in this session, capture the in-progress + next-pending items.

If any of these reads fails (file missing), record "(none on disk)" rather than fabricating content.

### PHASE 2 — Write the checkpoint

Write to `quality_reports/checkpoints/YYYY-MM-DD_$ARGUMENTS.md` (slug from `$ARGUMENTS`; if no arg, derive from the active plan's title and warn the user). The file uses this template:

```markdown
---
date: YYYY-MM-DD
branch: [current-branch]
plan: [path to active plan, or "(none)"]
session-log: [path to most recent session log, or "(none)"]
status: in_progress | paused | ready-to-merge
---

# Checkpoint — [short topic]

## Goal (one sentence)
[What this work is trying to accomplish]

## Where I am (one paragraph)
[Last completed step, current step, what's just-not-yet-done. Bullet points OK.]

## File pointers
[Concrete `path:line` references to where the next session should resume. Aim for 3–8.]
- `.claude/skills/checkpoint/SKILL.md:42` — body draft, needs trigger-phrase tightening
- `quality_reports/plans/[slug].md:135` — verification section to refresh after impl
- `CHANGELOG.md` — Unreleased section, v1.8.0 entry not yet drafted

## Recent decisions
[2–5 bullet points of *why* we did what we did this session. Things that wouldn't be obvious from the diff. Skip if none — do not pad.]

## Open questions
[Specific things you'd ask if someone else picked this up. Mark each as Q1, Q2 …]

## Next 1–3 actions
[Imperative form. Concrete. The next session opens this file and starts here.]
1. [...]
2. [...]
3. [...]

## Resume prompt
> Resuming from checkpoint `quality_reports/checkpoints/[filename]`. Read it, then continue with action 1.
```

Keep the file under ~80 lines. If state is too large for that, the plan file (not the checkpoint) is the right place; checkpoint is a thin index pointing back at the plan.

### PHASE 3 — Propose memory updates (skip if `--no-memory`)

Surface 0–3 candidate `[LEARN]` entries this session generated. **Don't write to MEMORY.md without user approval** — this is a propose-then-apply step:

For each candidate, present:

```
[LEARN:category] proposed: <one-line headline>
Why: <one sentence on what makes this non-obvious>
Apply where: <which future situations would benefit>
```

If the user says "yes" / "all" / "1 and 3" — append to MEMORY.md (root, the committed one) using the `[LEARN]` format. If the candidate is machine-specific (paths, tool versions, personal preference), recommend the user route it to `.claude/state/personal-memory.md` instead per `.claude/rules/meta-governance.md`.

Stay below 3 candidates. If you have more, the session was probably under-narrated — flag it and recommend a session-log update instead.

### PHASE 4 — Output summary

Print, to chat:

```
✓ Checkpoint saved: quality_reports/checkpoints/YYYY-MM-DD_<slug>.md
  Branch: <branch>     Status: <in_progress|paused|ready-to-merge>
  Active plan: <path or none>     Open questions: <count>
  Resume command: claude --continue   (or paste the file's "Resume prompt" into a fresh session)
```

If memory candidates were proposed, summarise which (if any) the user accepted.

## Cross-references

- `.claude/rules/session-logging.md` — narrative companion. **Do not duplicate** — the checkpoint references the latest session log by path; it does not re-tell the session story.
- `.claude/rules/plan-first-workflow.md` — checkpoint reads the active plan; if no plan exists, recommend the user enter plan mode before invoking `/checkpoint`.
- `templates/decision-record.md` — for *why we chose A over B*, not for *where we are*.
- `.claude/hooks/pre-compact.py` — when `CLAUDE_PRECOMPACT_BLOCK_ON_DRAFT=1` is set, the PreCompact hook will block compaction once per DRAFT plan. `/checkpoint` is the right thing to run when that block fires.

## Examples

### Example 1 — End-of-day handoff
**User says:** "checkpoint v180-polisci"
**Actions:**
1. Read `quality_reports/plans/2026-04-27_v180-polisci-apr2026.md` (active, DRAFT).
2. Read `quality_reports/session_logs/2026-04-27_v180-polisci-apr2026.md`.
3. Capture: branch `feat/v1.8.0-polisci-apr2026`, 4 commits ahead of main, 8 files modified.
4. Write `quality_reports/checkpoints/2026-04-27_v180-polisci.md` with file pointers to the half-drafted `methods-referee.md` and the un-started `journal-profiles.md` poli-sci block.
5. Propose 1 candidate `[LEARN:scope]` entry on the linear-cost of disciplinary breadth.
**Result:** Next session: `claude --continue`, then `read quality_reports/checkpoints/2026-04-27_v180-polisci.md and start at action 1`.

### Example 2 — Mid-plan model switch
**User says:** "I want to switch to Sonnet for the cheap doc edits — checkpoint first"
**Actions:**
1. Capture state.
2. Write checkpoint with `status: paused`.
3. Skip memory proposal (small lift — just resuming on a different model).
**Result:** State is on disk; the Sonnet session reads the checkpoint and continues without reloading the full plan.

## Troubleshooting

**No active plan found.** `/checkpoint` will still write a thin checkpoint with `plan: (none)`, but the right move is usually to enter plan mode first — checkpoints without a plan reference are weak.

**Topic-slug missing.** If `$ARGUMENTS` is empty, derive from the active plan filename (strip date prefix). If both are missing, prompt the user for one rather than fabricating.

**Output too long.** Trim the "Recent decisions" and "Open questions" first. Plans go in plan files; the checkpoint should fit on a screen.

Attribution

pedrohcgspedrohcgs
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