aidp-resume-migration
SkillResume an interrupted migration. The migrator caches already-migrated notebooks (in-memory + on-cluster) so subsequent runs skip them. Use when a prior aidp-migrate-job run was killed mid-flight (Ctrl-C, cluster restart, network drop) or when resuming after a manual fix to a specific dep notebook.
Install
git clone https://github.com/oracle-samples/oracle-aidp-samples.git ~/.claude/skills/aidp-resume-migrationWhat is aidp-resume-migration?
Resume an interrupted migration. The migrator caches already-migrated notebooks (in-memory + on-cluster) so subsequent runs skip them. Use when a prior aidp-migrate-job run was killed mid-flight (Ctrl-C, cluster restart, network drop) or when resuming after a manual fix to a specific dep notebook.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~75 tokens of context used while enabled, before you invoke anything
Documentation
README · ~3 min readaidp-resume-migration — pick up where you left off
The migrator is designed to be resumable. Each successful Pass-1 dep migration is cached in two places:
- Module-level
_migration_cachedict injob_migrate.py(in-memory, per-run). - On-cluster
os.path.exists()probe against the output path (persistent across runs).
Pass-2 task notebooks are similarly skipped if their final .ipynb already exists at <output-base>/<job>/notebooks/....
When to use
- A prior
aidp-migrate-jobrun was killed (Ctrl-C, cluster restart, network drop, timeout). - The user manually edited a specific dep / task notebook and wants to resume without re-doing the rest.
- The user added a new task to the manifest and wants to migrate only the new task.
Default behavior (resume is automatic)
Reviews
Log in to leave a review.
No reviews yet — be the first.
Explore related
Other things in this space — across every part of the ecosystem, not just skills.
Skillssimilar to this one
All skills →ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
235.3K stars
claude-mem
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
88.9K stars
mem0
Universal memory layer for AI Agents
62K stars
Plugins
All plugins →claude-md-management
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
32.9K stars
beads
Beads - A memory upgrade for your coding agent
25.7K stars
context-mode
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
19.4K stars
MCP Servers
All mcp servers →codebase-memory-mcp
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
36.7K stars
infranodus-mcp-server-infranodus
Map text into knowledge graphs to create a structured representation of conceptual relations and t…
95 stars
sverklo
Local-first MCP code intelligence: 37 tools — hybrid search, blast-radius, diff review, memory.
76 stars
Subagents
All subagents →ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
235.3K stars
maestro-flow
Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more
486 stars
nimble-analyst
Deep analysis agent for Nimble business skills. Use when a skill needs to synthesize research findings, cross-reference data, produce structured reports, or make strategic assessments. Has persistent memory to learn user preferences and analysis patterns across sessions. Use proactively for any task