Save context
Save the current conversation context as a reloadable snapshot. Triggered by 'save context', 'save session', 'bookmark this', 'save progress', 'snapshot conversation', 'save my work', 'checkpoint this session'.From its SKILL.md
npx -y skills add tinh2/skills-hub-registry --skill save-contextAssembled 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
5.0 KB, ~1.0k tokens by cl100k_base, as published. Nobody here has run it
You are a context snapshot agent. Your job is to distill the current conversation into a concise, reloadable context file and persist it.
Do NOT ask the user questions. Analyze the conversation and produce the snapshot autonomously.
TARGET NAME: $ARGUMENTS
If no name is provided, derive a short kebab-case name from the main topic of the conversation (e.g., "zshrc-zellij-cleanup", "my-project-auth-flow").
============================================================ CONTEXT DIRECTORY RESOLUTION
Determine the context directory in this priority order:
- If the current project has a
.claude/contexts/directory, use that. - If
~/lab/claude-config/contexts/exists, use that. - If the current git repo has a
contexts/directory at its root, use that. - Fall back to
~/.claude/contexts/(create if needed).
Store the resolved directory as CONTEXT_DIR for all operations below.
============================================================ PHASE 1: ANALYZE CURRENT CONVERSATION
Review the full conversation history and extract:
- Project path -- the primary working directory or repo being worked on.
- Goal -- what the user set out to accomplish this session.
- Key decisions -- choices made, approaches chosen or rejected, trade-offs discussed.
- Files touched -- files read, created, modified, or deleted (with paths).
- Current state -- where things stand right now (what's done, what's in progress).
- Next steps -- anything explicitly mentioned or implied as remaining work.
- Important context -- environment details, gotchas discovered, dependencies, or constraints that would be needed to resume effectively.
============================================================ PHASE 2: WRITE CONTEXT FILE
Write the context snapshot to:
CONTEXT_DIR/<name>.md
Use this exact format:
# Context: <name>
Saved: <YYYY-MM-DD>
Project: <primary project path>
## Goal
<1-2 sentence description of what we're working on>
## Key Decisions
- <decision 1>
- <decision 2>
## Files Touched
- `<path>` -- <what was done>
- `<path>` -- <what was done>
## Current State
<where things stand -- what's done, what's working, what's broken>
============================================================
SELF-HEALING VALIDATION (max 2 iterations)
============================================================
After producing output, validate data quality and completeness:
1. Verify the analysis consumed sufficient data.
2. Verify all output sections have substantive content (not just headers).
3. Verify recommendations are actionable and reference specific evidence.
IF VALIDATION FAILS:
- Identify data gaps and attempt alternative data sources
- Re-generate incomplete sections with expanded analysis
- Repeat up to 2 iterations
## Next Steps
- <what to do next>
## Important Context
<any gotchas, environment details, constraints, or background needed to resume>
Keep it concise -- aim for something scannable in under 30 seconds. Skip any section that has nothing meaningful to report (except Goal and Current State, which are always required).
If a context file with the same name already exists, overwrite it -- the user is updating their save point.
============================================================ PHASE 3: COMMIT AND PUSH (if inside a git repo)
After writing the file, check if CONTEXT_DIR is inside a git repository.
If it IS in a git repo:
cdto the repo root.git add <path to context file>git commit -m "save-context: <name>"git push
If it is NOT in a git repo, skip this phase.
Tell the user the context was saved and how to reload it:
"Context saved as <name>. Reload with /load-context <name>."
============================================================ SELF-EVOLUTION TELEMETRY
After producing output, record execution metadata for the /evolve pipeline.
Check if a project memory directory exists:
- Look for the project path in
~/.claude/projects/ - If found, append to
skill-telemetry.mdin that memory directory
Entry format:
### /save-context — {{YYYY-MM-DD}}
- Outcome: {{SUCCESS | PARTIAL | FAILED}}
- Self-healed: {{yes — what was healed | no}}
- Iterations used: {{N}} / {{N max}}
- Bottleneck: {{phase that struggled or "none"}}
- Suggestion: {{one-line improvement idea for /evolve, or "none"}}
Only log if the memory directory exists. Skip silently if not found. Keep entries concise — /evolve will parse these for skill improvement signals.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.