Keep research tasks moving when web search or page reading fails. The workflow identifies tool errors, shifts to existing knowledge where appropriate, and helps produce documents that clearly mark uncertainties and information needing external verification.
中文简介正在准备中。当前显示英语简介。
Handle web research failures with explicit error recognition and domain-specific fallback strategies
安装前可以查看交给 AI 代理的指令内容。
This skill provides a workflow for handling tasks that require external research when web search or webpage reading tools fail due to network issues or tool unavailability.
Begin by attempting to use available web research tools:
1. Use search_web for current information, statistics, or recent developments
2. Use read_webpage for detailed source material when URLs are provided
3. Document what you attempted to find
Recognize when to pivot — including explicit error patterns:
unknown error from search_web — immediately recognize this as a tool failure trigger (do not retry excessively)Do not spend excessive time retrying failed tools. After 1-2 attempts with unknown error or similar failures, proceed to Step 3.
When external tools fail:
When producing deliverables:
- Include a note that external verification is recommended for time-sensitive information
- Flag any claims that would benefit from current source verification
- Focus on established principles, frameworks, and well-documented facts
- Avoid making specific claims about very recent events or statistics
Proceed with the original task deliverable:
Task requires research on [TOPIC]
|
v
Attempt search_web / read_webpage
|
+----+----+
| |
Success Failure (after 1-2 attempts)
| |
| | **Note: `unknown error` = immediate pivot signal**
v v
Use sources Pivot to internal knowledge
| |
+----+----+
|
v
Generate content with appropriate disclaimers
|
v
Create deliverable file
unknown error from search_web is a clear signal to pivot, not a reason for extended retriesExample 1: Legal Memo
Task: Create legal memo on privacy law violations
Workflow:
unknown errorOutcome: Comprehensive memo produced despite tool failures, with appropriate disclaimers about verification.
Example 2: Anatomical/Medical Content
Task: Create proposal with anatomical utilization analysis and procedure capacity estimates
Workflow:
unknown errorunknown errorOutcome: High-quality proposal with anatomical tables, procedure estimates, and cost analysis created using internal knowledge, with transparent disclaimers about statistical verification.
In these cases, report the tool failure and request guidance rather than proceeding with internal knowledge alone.
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Prepare audio stems, the separate parts of a track, for mixing by matching their durations with silence, loops, or crossfades. Verify each generated and processed file before moving to the next production step.
中文简介正在准备中。当前显示英语简介。
Produce audio in separate stems, meaning individual instrument tracks, and verify each output as you go. Align track lengths with silence, loops, or crossfades, then apply effects, mix a master, and package the files.
中文简介正在准备中。当前显示英语简介。
Build serverless endpoints that relay external API requests for a dashboard while keeping API keys on the server. Includes Vercel examples for input checks, caching, cross-origin access, and consistent JSON responses.
中文简介正在准备中。当前显示英语简介。
Produce a master track and separate audio parts through a structured Python workflow. Apply filters and reverb, export WAV files with consistent settings, package them in a ZIP archive, and check that the deliverables meet the requested specifications.
中文简介正在准备中。当前显示英语简介。
Keep document creation moving when web searches and page retrieval repeatedly fail. The skill preserves the original task, uses the model’s existing knowledge, and clearly identifies information that could not be checked against external sources.
中文简介正在准备中。当前显示英语简介。
When Python execution repeatedly fails in execute_code_sandbox, use a file-based alternative: save the script, run it through the shell, and capture results or errors. The guidance covers paths, imports, timeouts, structured output, and optional cleanup.
中文简介正在准备中。当前显示英语简介。