Accelerate

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 4e163a7a8095 · 19 Oct 2026Report an issue or request a re-scan

• Publishersharpdeveye GitHub userOwner of the repository this skill is read from
• Source foldersharpdeveye/maestro/source/skills/accelerateThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict4e163a7a8095A new audit runs when the source changes
• Repository statusNot archivedLast push 173 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.

---
name: accelerate
description: "Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization."
argument-hint: "[target metric]"
category: enhancement
version: 2.0.0
user-invocable: true
---

## 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.
Consult the context-management reference in the agent-workflow skill for window optimization and budget strategies.


---

Make the workflow faster and cheaper without sacrificing quality. Measure before and after.

### Performance Audit

Measure current performance:

```text
Current metrics:
  Latency (p50): ___ms
  Latency (p95): ___ms
  Cost per request: $___
  Token usage (avg): ___ input / ___ output
  Error rate: ___%
```

### Acceleration Strategies

**Reduce Token Usage**

- Shorten system prompts (remove redundant instructions)
- Compress few-shot examples to minimum viable length
- Use structured output schemas instead of verbose text
- Summarize context instead of passing raw documents
- Reduce output length requirements

**Model Cascading**

- Route simple tasks to cheaper/faster models
- Escalate only complex tasks to capable models
- Use classification to determine complexity

**Caching**

- Cache responses for identical or near-identical inputs
- Cache tool results with appropriate TTL
- Cache embeddings for frequently-queried documents
- Use semantic caching for similar (not identical) queries

**Parallelization**

- Run independent tool calls in parallel
- Run independent agent steps in parallel
- Use streaming to start processing before full response

**Context Optimization**

- Retrieve less, retrieve better (improve retrieval precision)
- Use context compression techniques
- Implement sliding window for long conversations

### Acceleration Report

For each optimization:

1. **What changed**: Specific modification
2. **Before**: Latency/cost/tokens before
3. **After**: Latency/cost/tokens after
4. **Quality impact**: Any quality change (verify with golden tests)
5. **Trade-off**: What was sacrificed for the improvement

### Acceleration Checklist

- [ ] Baseline metrics recorded before any changes
- [ ] Each optimization measured with before/after comparison
- [ ] Quality impact verified (golden tests still pass)
- [ ] Trade-offs documented for each change
- [ ] Cost/latency improvements quantified

### Recommended Next Step

After optimization, run `/evaluate` to verify quality didn't degrade, or `/iterate` to set up continuous monitoring.

**NEVER**:

- Optimize without measuring first (you need a baseline)
- Sacrifice quality for speed without explicit user approval
- Cache outputs that depend on real-time data
- Skip the quality check after optimization
- Optimize prematurely (make it correct first, then make it fast)

Excerpt, first 2,977 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/sharpdeveye/maestro
git -C maestro checkout 4e163a7a8095

Works in

1. 2026-10-19
   ✓SAFE B 89 / 100

   first audit · source 4e163a7a8095

Questions about Accelerate

• github.com/sharpdeveye/maestro/tree/main/source/skills/accelerat — the audited source at commit 4e163a7a8095 and every finding aboveObserved · 19 Oct 2026

Spotted something wrong? Report a correction · Methodology