74-mid-session-save-150
[74] CLOSE. Quick checkpoint during active work when context is running low. Use multiple times per development cycle to preserve progress and lessons. Lighter than close-session — no full handoff needed. Triggers on 'save progress', 'checkpoint', 'context low', or automatically when nearing token limits.
Best use case
74-mid-session-save-150 is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
[74] CLOSE. Quick checkpoint during active work when context is running low. Use multiple times per development cycle to preserve progress and lessons. Lighter than close-session — no full handoff needed. Triggers on 'save progress', 'checkpoint', 'context low', or automatically when nearing token limits.
Teams using 74-mid-session-save-150 should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/74-mid-session-save-150/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How 74-mid-session-save-150 Compares
| Feature / Agent | 74-mid-session-save-150 | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
[74] CLOSE. Quick checkpoint during active work when context is running low. Use multiple times per development cycle to preserve progress and lessons. Lighter than close-session — no full handoff needed. Triggers on 'save progress', 'checkpoint', 'context low', or automatically when nearing token limits.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Mid-Session Save 150 Protocol
**Core Principle:** Don't wait for session end to save. Checkpoint early, checkpoint often.
## What This Skill Does
This skill provides **quick checkpoints** during active work:
- Capture current progress without full handoff
- **Track what worked and what didn't** (raw material for lessons)
- Persist lessons learned so far
- Update session state for continuity
- Can be invoked **multiple times** per development cycle
### Key Insight: Progress Log as Lesson Source
The session progress log captures:
- ✅ What **worked** (successful approaches)
- ❌ What **didn't work** (failed attempts, dead ends)
- 🔄 What was **tried** (experiments, approaches tested)
This raw data becomes the source for extracting lessons later. Don't just save "what's done" — save the **journey** including failures.
## When to Use This Skill
**Triggers:**
- Context window running low (but not ending session)
- Significant progress made (feature partially done)
- Important lesson learned (don't risk losing it)
- Before complex/risky operation
- User says "save progress", "checkpoint", "зберегти"
- Every 30-45 min of active work (recommended cadence)
**NOT for:**
- Full session end → use `72-close-session-150`
- Just recording a single lesson → use `73-close-lessons-learn-150`
## The 150% Checkpoint Rule
- **100% Core:** What changed + current state
- **50% Enhancement:** Key learnings + immediate next step
## Quick Checkpoint Protocol
### Step 1: IDENTIFY CHANGES
What happened since last checkpoint:
- Files touched
- Decisions made
- Problems solved
### Step 2: LOG SESSION PROGRESS (Critical!)
Track the journey, not just the destination:
- ✅ **What worked** — successful approaches, solutions that fixed issues
- ❌ **What didn't work** — failed attempts, dead ends, wrong assumptions
- 🔄 **What was tried** — experiments, approaches tested, hypotheses
- 💡 **Why it worked/failed** — root cause understanding (if known)
**Write to:** `.sessions/SESSION_[date]-[name].md` in `## Progress Log` section
**Purpose:** Raw material for extracting lessons later
### Step 3: CAPTURE LESSONS (if ready)
If a clear lesson emerged:
- Add to MEMORY.md Lessons (Inbox)
- Don't skip this — context loss = lesson loss
- If lesson not yet clear, progress log will preserve the data
### Step 4: UPDATE SESSION LOG STATE
Current state in the session log:
- Update the `## Current State` block (or add it if missing)
- Keep it brief and current
### Step 5: QUICK CONTEXT SAVE
Final state in `.sessions/SESSION_[date]-[name].md`:
- Current focus + next action
- Ready for immediate continuation
## Output Format: Mid-Session Checkpoint
```
⏱️ **MID-SESSION CHECKPOINT**
**Checkpoint:** #N | [HH:MM]
**Task:** [Current task name]
## Since Last Checkpoint
- [Change 1]
- [Change 2]
## Progress Log (What Worked / What Didn't)
✅ Worked:
- [Successful approach 1]
- [Solution that fixed issue]
❌ Didn't Work:
- [Failed attempt 1] — reason: [why it failed]
- [Dead end 2] — reason: [wrong assumption]
🔄 Tried:
- [Experiment/hypothesis tested]
## Current State
- Working on: [Current focus]
- Status: [Progress indicator]
## Lessons Captured
- [Lesson added to MEMORY.md, or "Pending — data in progress log"]
## Next Action
→ [Immediate next step]
---
✅ Checkpoint saved | Ready to continue
```
## Ultra-Quick Format
When time is very short (< 1 min):
```
⏱️ CHECKPOINT #N
Done: [What completed]
Worked: [What succeeded]
Failed: [What didn't work + why]
Now: [Current state]
Next: [Immediate action]
```
## What Gets Updated
| Location | What | When |
|----------|------|------|
| `.sessions/SESSION_[date]-[name].md` | Quick state + **Progress Log** | Every checkpoint |
| `MEMORY.md` Lessons (Inbox) | New learnings | Only if lessons are clear |
## Progress Log → Lessons Pipeline
```
Checkpoint #1: Log what worked/failed (raw data)
↓
Checkpoint #2: More data accumulated
↓
Checkpoint #3: Pattern emerges → Extract lesson → MEMORY.md Lessons (Inbox)
↓
Session End: Review all progress logs → Extract remaining lessons
```
**Key principle:** Not every checkpoint produces a lesson. The progress log is the **raw material** — lessons are **extracted** when patterns become clear.
## Checkpoint Cadence Recommendations
| Work Type | Recommended Interval |
|-----------|---------------------|
| Bug fixing | After each bug solved |
| Feature development | Every 30-45 min |
| Refactoring | After each file/component |
| Investigation | After major finding |
| Complex operation | Before and after |
## Comparison with Related Skills
| Skill | Purpose | When |
|-------|---------|------|
| `74-mid-session-save-150` | Quick checkpoint | During work, multiple times |
| `72-close-session-150` | Full handoff | End of session |
| `73-close-lessons-learn-150` | Record lesson | After success confirmation |
## Operational Rules
1. **CHECKPOINT OFTEN:** Better too many than too few
2. **LOG FAILURES TOO:** What didn't work is as valuable as what did
3. **LESSONS FIRST:** Don't lose learnings
4. **BE BRIEF:** Quick saves, not essays
5. **STAY CURRENT:** Update, don't accumulate
6. **IMMEDIATE NEXT:** Always know what's next
7. **PROGRESS = RAW DATA:** Not every checkpoint needs a lesson — collect data first
## Example: Development Cycle with Checkpoints
```
Start Session
↓
Load context (session-start-memory)
↓
Work on Feature Part 1
↓
⏱️ CHECKPOINT #1 (45 min in)
└─ Progress: ✅ API route works | ❌ Hook failed (stale closure)
↓
Work on Feature Part 2
↓
⏱️ CHECKPOINT #2 (problem solved)
└─ Progress: ✅ useCallback fixed closure | Pattern emerges → LESSON CAPTURED
↓
Work on Feature Part 3
↓
⏱️ CHECKPOINT #3 (context getting low)
└─ Progress: 🔄 Trying SSR approach | ❌ hydration mismatch
↓
Continue or End Session
↓
Close session (close-session-150)
└─ Review all progress logs → Extract lessons from ❌ patterns
```
### Example Progress Log Entry
```markdown
## Progress Log
### Checkpoint #1 — 14:30
✅ Worked:
- API route returns correct data
- Zod schema validates input
❌ Didn't Work:
- Direct state update in useEffect — caused infinite loop
- Reason: dependency array included computed object
🔄 Tried:
- useMemo for computed dependency — testing now
### Checkpoint #2 — 15:15
✅ Worked:
- useMemo solved the loop — stable reference now
- Component renders correctly
❌ Didn't Work:
- (none this round)
💡 Lesson extracted: "Never use computed objects in useEffect deps — use useMemo or extract IDs"
```
## Failure Modes & Recovery
| Failure | Detection | Recovery |
|---------|-----------|----------|
| **No checkpoints** | Lost context when resuming | Reconstruct from files, git, tests |
| **Stale checkpoint** | Info outdated | Update before continuing |
| **Lost lesson** | Repeated same mistake | Document with extra context |
| **Too verbose** | Checkpoint took too long | Use ultra-quick format |
| **Only logged success** | Repeated failed approach | Log ❌ failures with reasons |
| **No progress log** | Can't extract lessons at session end | Always log worked/didn't work |
---
**Remember:** Checkpoints are cheap. Lost context is expensive. When in doubt, checkpoint.Related Skills
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