Session resume
Cross-session context persistence via .claude/idev/session-resume/last-session.json. Use when resuming work in a new session, or to save working context at task completion or when the user asks to save.From its SKILL.md
npx -y skills add TheophilusChinomona/idev --skill session-resumeAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Session Resume Skill
Purpose
Persist working context across sessions so Claude can resume exactly where it left off without re-discovering files, re-reading code, or re-learning what was being worked on.
Activation
- Save: At task completion, or when the user asks to save context
- Load: At the start of a new session (before any task work)
(A PreCompact hook could automate saving before context compaction, but none is wired by default — don't rely on it.)
How It Works
A lightweight session snapshot is saved to:
.claude/idev/session-resume/last-session.json
This file is loaded at session start, giving Claude instant awareness of:
- What feature/area was being worked on
- Which files were recently read/modified
- What the last task was
- Any pending issues or blockers
Phase 1: Save Session State
At task completion (or when the user asks to save context), save:
{
"savedAt": "YYYY-MM-DD HH:mm",
"lastTask": {
"description": "Brief description of what was being done",
"status": "completed|in-progress|blocked",
"blockedBy": "Description of blocker (if blocked)"
},
"activeFeature": "FeatureName (e.g., Orders)",
"activeLayer": "frontend|backend|full-stack",
"recentFiles": {
"modified": [
"relative/path/to/file1.ts",
"relative/path/to/file2.cs"
],
"read": [
"relative/path/to/file3.ts"
]
},
"openIssues": [
{
"description": "Reject button not hitting API - needs browser console check",
"file": "relative/path/to/file.tsx",
"severity": "medium"
}
],
"workingBranch": "feature/branch-name",
"notes": "Any important context that would be lost on session restart"
}
Phase 2: Load Session State
At session start:
1. Read last-session.json (~30 lines, roughly 300 tokens)
2. If lastTask.status == "in-progress":
→ Inform user: "Last session was working on: [description]"
→ Offer to continue or start fresh
3. If openIssues exist:
→ Mention pending issues briefly
4. Use activeFeature + activeLayer to pre-load the right context
5. Use recentFiles.modified to know which files were changed
Phase 3: When to Save
Save the session state when ANY of these occur:
- User explicitly says "save session" or "save context"
- A task is completed (update lastTask.status)
- User switches to a different feature/task
- A blocker is encountered (update openIssues)
Save Rules
- Keep recentFiles lists to max 10 entries each (most recent first)
- Keep openIssues to max 5 entries
- Overwrite previous session file (only latest session matters)
- Do NOT save file contents — only paths
- Do NOT save sensitive data (tokens, passwords, keys)
- Total file size should stay under 50 lines
Integration with Other Skills
Session start:
1. Load last-session.json (this skill)
2. Load .claude/idev/smart-context/index.json (smart context skill)
3. If activeFeature is set → grep file-index for that feature's files
4. Ready to work in ~3 reads
Anti-Patterns
- Do NOT save entire file contents in the session state
- Do NOT save more than 10 recent files
- Do NOT load the session state AND re-explore the codebase
- Do NOT ignore the session state when it exists
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most hr recruiting skills give in 812 tokens
Counted across 356 of the 357 authors here whose files we hold, read 2026-08-07
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Said here and by no other author read
- save session state at task completion
- save session state on user request
- save session state when encountering a blocker
- load session state at new session start
- limit recent file lists to ten entries
- limit open issues to five entries
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.