EasyPlatform checkpoint

[Utilities] Save analysis context to checkpoint file for recovery

install
source · Clone the upstream repo
git clone https://github.com/duc01226/EasyPlatform
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/duc01226/EasyPlatform "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/checkpoint" ~/.claude/skills/duc01226-easyplatform-checkpoint && rm -rf "$T"
manifest: .claude/skills/checkpoint/SKILL.md
source content

[IMPORTANT] Use

TaskCreate
to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.

<!-- SYNC:critical-thinking-mindset -->

Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.

<!-- /SYNC:critical-thinking-mindset --> <!-- SYNC:ai-mistake-prevention -->

AI Mistake Prevention — Failure modes to avoid on every task:

  • Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal.
  • Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing.
  • Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain.
  • Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path.
  • When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site.
  • Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code.
  • Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks.
  • Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis.
  • Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly.
  • Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
<!-- /SYNC:ai-mistake-prevention -->

Quick Summary

Goal: Save current analysis context and progress to an external file for recovery after context loss.

Workflow:

  1. Gather Context — Collect task state, findings, files analyzed, decisions made
  2. Write Checkpoint — Save structured markdown to
    plans/reports/checkpoint-{timestamp}-{slug}.md
  3. Update Todos — Reflect checkpoint creation in task tracking

Key Rules:

  • Save checkpoints every 30-60 minutes during complex tasks
  • Include file paths, line numbers, and recovery instructions
  • Document decisions with rationale for future reference

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Save Memory Checkpoint

Save current analysis, findings, and progress to an external memory file to prevent context loss during long-running tasks.

Usage

Use this command when:

  • Working on complex multi-step tasks (investigation, planning, implementation)
  • Before expected context compaction
  • At key milestones during feature development
  • After completing significant analysis phases

Checkpoint File Location

Files are saved to:

plans/reports/checkpoint-{timestamp}-{slug}.md

Instructions

Create a checkpoint file with the following structure:

Step 1: Determine Checkpoint Location

# Get current date for filename
date +%y%m%d-%H%M

Step 2: Gather Context

Collect and document:

  1. Current Task - What are you working on?
  2. Key Findings - What have you discovered?
  3. Files Analyzed - Which files have been read/modified?
  4. Progress Summary - What's completed vs remaining?
  5. Important Context - Critical information to preserve
  6. Next Steps - What should be done next?
  7. Open Questions - Unresolved issues

Step 3: Write Checkpoint File

Create a markdown file at

plans/reports/checkpoint-YYMMDD-HHMM-{task-slug}.md
with:

# Memory Checkpoint: [Task Description]

> Checkpoint created to preserve analysis context during [task type].

## Session Info

- **Created:** [timestamp]
- **Task:** [description]
- **Branch:** [git branch]
- **Phase:** [current phase]

## Current Task Summary

[Brief description of what you're working on]

## Key Findings

### Analysis Results

- [Finding 1]
- [Finding 2]
- [Finding N]

### Patterns Discovered

- [Pattern 1]
- [Pattern 2]

### Dependencies Identified

- [Dependency 1]
- [Dependency 2]

## Files Context

### Analyzed Files

| File            | Purpose   | Relevance       |
| --------------- | --------- | --------------- |
| path/to/file.cs | [purpose] | High/Medium/Low |

### Modified Files

- `path/to/modified.ts` - [change description]

### Pending Files

- `path/to/pending.cs` - [why pending]

## Progress Summary

### Completed

- [x] [Completed item 1]
- [x] [Completed item 2]

### In Progress

- [ ] [Current item]

### Remaining

- [ ] [Remaining item 1]
- [ ] [Remaining item 2]

## Important Context

### Critical Information

[Information that must not be lost]

### Assumptions Made

- [Assumption 1]
- [Assumption 2]

### Decisions Made

- [Decision 1] - [rationale]
- [Decision 2] - [rationale]

## Next Steps

1. [Immediate next action]
2. [Following action]
3. [Subsequent action]

## Open Questions

- [ ] [Question 1]
- [ ] [Question 2]

## Recovery Instructions

To resume this task after context reset:

1. Read this checkpoint file
2. Review [specific files] for context
3. Continue from [specific point]

---

_Checkpoint saved by Claude Code at [timestamp]_

Step 4: Update Todo List

Update your todo list to reflect checkpoint was created:

- [x] Create memory checkpoint at [timestamp]

Best Practices

  1. Save checkpoints frequently - Every 30-60 minutes during complex tasks
  2. Be specific - Include file paths, line numbers, exact findings
  3. Document decisions - Record why choices were made
  4. Link related files - Reference other analysis documents
  5. Include recovery steps - Make resumption easy

Related Commands

  • /context
    - Load project context
  • /compact
    - Manually trigger context compaction
  • /watzup
    - Generate progress summary

Closing Reminders

  • MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using
    TaskCreate
    BEFORE starting
  • MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
  • MANDATORY IMPORTANT MUST ATTENTION cite
    file:line
    evidence for every claim (confidence >80% to act)
  • MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality <!-- SYNC:critical-thinking-mindset:reminder -->
  • MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact. <!-- /SYNC:critical-thinking-mindset:reminder --> <!-- SYNC:ai-mistake-prevention:reminder -->
  • MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction. <!-- /SYNC:ai-mistake-prevention:reminder -->