context-intelligence-session-reconstruction Skill
Reconstruct local Amplifier session files from the context-intelligence graph server — events.jsonl, transcript.jsonl, and metadata.json Published by microsoft in amplifier-bundle-context-intelligence.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
2 months ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is context-intelligence-session-reconstruction Skill?
Reconstruct local Amplifier session files from the context-intelligence graph server — events.jsonl, transcript.jsonl, and metadata.json Published by microsoft in amplifier-bundle-context-intelligence. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Declared license: MIT
- Source file: skills/context-intelligence-session-reconstruction/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use context-intelligence-session-reconstruction Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/amplifier-bundle-context-intelligence
- Skill file: skills/context-intelligence-session-reconstruction/SKILL.md
What it does
Reconstruct local Amplifier session files from the context-intelligence graph server — events.jsonl, transcript.jsonl, and metadata.json
Skill instructions
Context Intelligence Session Reconstruction Local Amplifier session files (events.jsonl, transcript.jsonl, metadata.json) can be reconstructed from the context-intelligence Neo4j graph server when the local files are missing, broken, or incomplete. This skill covers when and how to run the reconstruction tool safely. --- When to Use Use reconstruction when local session files are absent or unusable but the graph server holds the session data: - Missing files: Sessions exist in the graph but have no local files — for example, after a disk wipe, new machine setup, or accidental deletion - Broken resume: amplifier resume shows "unnamed", "unknown", or empty session names — reconstructing metadata.json populates bundle, model, and session name fields - Unknown bundles: Sessions that show no bundle information in the resume list — reconstruction extracts bundle info from the graph's sessionstart blob --- When NOT to Use - Server unreachable: If the graph server is not reachable, reconstruct
Verified compatibility and discovery
Frequently asked questions
What is context-intelligence-session-reconstruction?
context-intelligence-session-reconstruction is a open-source AI agent skill with Copy skill directory. Reconstruct local Amplifier session files from the context-intelligence graph server — events.jsonl, transcript.jsonl, and metadata.json
Who is context-intelligence-session-reconstruction best for?
context-intelligence-session-reconstruction is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install context-intelligence-session-reconstruction?
Install or run context-intelligence-session-reconstruction using Copy skill directory. Check context-intelligence-session-reconstruction for the latest setup command.
Is context-intelligence-session-reconstruction actively maintained?
context-intelligence-session-reconstruction may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
