Standard recovery patterns for all squad agents. When something fails, adapt — don't just report the failure.
npx skills add https://github.com/microsoft/Generative-AI-for-beginners-dotnet --skill error-recovery
Standard recovery patterns for all squad agents. When something fails, adapt — don't just report the failure.
When: Transient failures — API timeouts, rate limits, network errors, temporary service unavailability.
Pattern:
Example: API call returns 429 Too Many Requests → wait 2s → retry → wait 4s → retry → wait 8s → retry → escalate if still failing.
When: Primary tool or approach fails and an alternative exists.
Pattern:
Example: Primary CLI tool fails → fall back to direct API call for the same operation.
When: Build failures, test failures, linting errors — structured errors with actionable output.
Pattern:
Example: Build fails with a type error → check for missing import → add it → rebuild.
When: Recovery attempts have been exhausted, or the failure requires human judgment.
Pattern:
Example: After 3 failed build attempts → "Build fails on line 42 with null reference. Tried X, Y, Z. Likely a design issue in the Foo module. Recommend the code owner review."
When: A non-critical step fails but the overall task can still deliver value.
Pattern:
Example: Generating a report with 5 sections — section 3 data source is unavailable → produce the report with 4 sections, note that section 3 was skipped and why.
Each agent should reference these patterns in their charter's ## Error Recovery section, tailored to their domain. The charter should list the agent's most common failure modes and map each to the appropriate pattern above.
Selection guide:
| Failure Type | Primary Pattern | Fallback Pattern |
|---|---|---|
| Network/API transient | Retry with Backoff | Escalate with Context |
| Tool/dependency missing | Fallback Alternatives | Escalate with Context |
| Build/test error | Diagnose-and-Fix | Escalate with Context |
| Auth/permissions | Retry with Backoff | Escalate with Context |
| Non-critical data missing | Graceful Degradation | — |
| Unknown/novel error | Escalate with Context | — |
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take microsoft/generative-ai-for-beginners-dotnet-error-recovery from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.