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Cascade Failure Recovery

Handle cascading data retrieval tool failures by falling back to embedded knowledge generation

Installable skillMITBy AG064Updated Oct 30, 2026
INTENDED FORClaude CodeCodexOpenClawCursorChatGPTInstall in a listed agent.

instructions.md

---
name: cascade-fail-recovery-3fda5cd481f8
description: Handle cascading data retrieval tool failures by falling back to embedded knowledge generation
---

# Cascade Failure Recovery

## Purpose

When multiple data retrieval tools (read_webpage, search_web) fail in succession, immediately fall back to generating content from embedded knowledge rather than attempting repairs or abandoning the task. This preserves task context and ensures completion.

## When to Apply

Use this pattern when you observe:
- 2+ consecutive failures from data retrieval tools
- Network/access errors preventing web content retrieval
- Risk of task abandonment due to tool errors

## Recovery Procedure

### Step 1: Recognize Cascading Failure

Identify the failure pattern:
```
Iteration N: read_webpage failed - connection error
Iteration N+1: search_web failed - timeout/unavailable
Iteration N+2: [risk] Agent may abandon task or switch objectives
```

### Step 2: Preserve Task Context

Before switching strategies, explicitly restate the original objective:
```
ORIGINAL OBJECTIVE: [Restate the core task goal]
CONTEXT PRESERVED: [Key requirements, constraints, deliverables]
```

### Step 3: Invoke Fallback Strategy

Immediately switch to embedded knowledge generation:
1. **Acknowledge the limitation**: Note that external data sources are unavailable
2. **Activate internal knowledge**: Use pre-trained knowledge relevant to the task
3. **Generate content**: Use write_file to create the deliverable from available knowledge
4. **Document the fallback**: Note in the output what information could not be verified externally

### Step 4: Execute write_file

Generate the required document:
```python
# Fallback to generating from embedded knowledge
write_file(
    path="output/document.md",
    content="[Generate content from internal knowledge base]"
)
```

## Example Application

**Scenario**: PACT Act veterans benefits document needed, but web access failing

**Wrong approach** (observed failure):
```
Iter 11: read_webpage failed - access error
Iter 12: search_web failed - unavailable
Iter 13: [ABANDONED] Switched to unrelated musician payroll task
```

**Correct approach** (with this skill):
```
Iter 11: read_webpage failed - access error
Iter 12: search_web failed - unavailable
Iter 13: CASCADE FAIL DETECTED - invoking fallback
Iter 14: write_file - generate PACT Act document from embedded knowledge
      - Note: "External verification unavailable; content based on training knowledge"
```

## Guidelines

1. **Threshold**: Trigger fallback after 2 consecutive retrieval failures
2. **No endless retries**: Do not attempt more than 1 repair/retry cycle
3. **Preserve objective**: Never switch to unrelated tasks when tools fail
4. **Transparency**: Clearly mark any content that lacks external verification
5. **Document limitations**: Note what could not be verified due to tool failures

## Related Skills

- `write-file-fallback`: Generate documents when data sources unavailable
- `task-context-preservation`: Maintain objective continuity through errors

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.