Adapt Workflow
Use when porting a workflow to a different AI provider, deployment environment, model tier, or organizational context.
Install
$ agentstack add skill-sharpdeveye-maestro-adapt-workflow ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-sharpdeveye-maestro-adapt-workflow) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
MANDATORY PREPARATION
Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first. Additionally gather: what the workflow is being adapted to.
Adapt a working workflow for a different context.
Adaptation Assessment
| Dimension | Current | Target | Impact | |-----------|---------|--------|--------| | Model provider | ? | ? | Prompt format, capabilities, pricing | | Model tier | ? | ? | Context window, reasoning ability | | Deployment env | ? | ? | Latency, availability, compliance | | Team structure | ? | ? | Monitoring, escalation, ownership | | Data sensitivity | ? | ? | Guardrails, logging, access controls |
Provider Adaptation
- Prompt format: Adjust for provider-specific features
- Context limits: Resize context budget for different window sizes
- Capability gaps: Identify features available in one provider but not another
- Pricing model: Recalculate cost estimates
- API differences: Update tool calling interfaces, error handling, retry logic
Environment Adaptation
- Latency requirements: Adjust timeout values, caching strategy
- Compliance: Add or adjust guardrails, logging, and data handling
- Scale: Adjust concurrency limits, batch sizes
- Monitoring: Adapt alerting thresholds
Adaptation Checklist
- [ ] All provider-specific APIs updated
- [ ] Context budget recalculated for target model
- [ ] Cost estimates updated with target pricing
- [ ] Guardrails adjusted for target compliance requirements
- [ ] Tests updated and passing in target environment
- [ ] Documentation updated for target team
Recommended Next Step
After adaptation, run /evaluate to verify the workflow performs correctly in the target environment, then /diagnose for a full health check.
NEVER:
- Assume prompts work identically across providers
- Copy production config to development without adjusting guardrails
- Adapt without updating the evaluation suite
- Skip cost re-estimation
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: sharpdeveye
- Source: sharpdeveye/maestro
- License: MIT
- Homepage: https://maestroskills.dev
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.