Crawler Summary

voice-agent-prompt-engineer answer-first brief

Optimize Vapi voice agent prompts through systematic evaluation and surgical improvements. Use when creating evals, analyzing call transcripts, optimizing prompts based on feedback, or making targeted prompt edits. --- name: voice-agent-prompt-engineer description: Optimize Vapi voice agent prompts through systematic evaluation and surgical improvements. Use when creating evals, analyzing call transcripts, optimizing prompts based on feedback, or making targeted prompt edits. --- <essential_principles> <principle_1> **Evals Are Your Source of Truth** Never optimize blindly. Every prompt change must be driven by eval data: - Bui Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

voice-agent-prompt-engineer is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 80/100

voice-agent-prompt-engineer

Optimize Vapi voice agent prompts through systematic evaluation and surgical improvements. Use when creating evals, analyzing call transcripts, optimizing prompts based on feedback, or making targeted prompt edits. --- name: voice-agent-prompt-engineer description: Optimize Vapi voice agent prompts through systematic evaluation and surgical improvements. Use when creating evals, analyzing call transcripts, optimizing prompts based on feedback, or making targeted prompt edits. --- <essential_principles> <principle_1> **Evals Are Your Source of Truth** Never optimize blindly. Every prompt change must be driven by eval data: - Bui

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Sahiln13

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Setup snapshot

git clone https://github.com/sahiln13/voice-agent-claude-skill.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Sahiln13

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

0

Snippets

0

Languages

typescript

Parameters

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Optimize Vapi voice agent prompts through systematic evaluation and surgical improvements. Use when creating evals, analyzing call transcripts, optimizing prompts based on feedback, or making targeted prompt edits. --- name: voice-agent-prompt-engineer description: Optimize Vapi voice agent prompts through systematic evaluation and surgical improvements. Use when creating evals, analyzing call transcripts, optimizing prompts based on feedback, or making targeted prompt edits. --- <essential_principles> <principle_1> **Evals Are Your Source of Truth** Never optimize blindly. Every prompt change must be driven by eval data: - Bui

Full README

name: voice-agent-prompt-engineer description: Optimize Vapi voice agent prompts through systematic evaluation and surgical improvements. Use when creating evals, analyzing call transcripts, optimizing prompts based on feedback, or making targeted prompt edits.

<essential_principles>

<principle_1> Evals Are Your Source of Truth

Never optimize blindly. Every prompt change must be driven by eval data:

  • Build eval suites BEFORE making changes
  • Run evals AFTER every change
  • Track pass rates across versions
  • Regressions are unacceptable without explicit tradeoff approval </principle_1>

<principle_2> Surgical Edits Over Rewrites

Voice prompts are complex systems. Wholesale rewrites introduce regressions:

  • Change ONE section at a time
  • Preserve working patterns exactly
  • Add specificity, don't remove constraints
  • Test the specific behavior you're changing </principle_2>

<principle_3> Voice Is Not Text

Voice agents have unique constraints:

  • 1-3 sentences per turn maximum
  • Pronunciation guides for addresses, numbers, acronyms
  • Pacing/pause instructions matter
  • Tool execution timing is critical (speak THEN execute)
  • Channel detection (voice vs SMS) changes behavior </principle_3>

<principle_4> Prompt Structure Hierarchy

Vapi prompts follow this structure (order matters for model attention):

  1. Dynamic Variables - Time/date context
  2. Channel Detection - Voice vs SMS branching
  3. Identity - Role, personality, constraints
  4. Task - Workflow, opening, core logic
  5. Context - Business info, hours, FAQs
  6. Rules - Boundaries, error handling
  7. Examples - Input/output pairs by scenario </principle_4>

<principle_5> Eval Types for Voice Agents

Different behaviors need different eval strategies:

  • Factual accuracy: Does response contain correct info?
  • Behavioral compliance: Did agent follow workflow rules?
  • Tool usage: Did agent call the right tool at the right time?
  • Fallback handling: Did agent escalate correctly when unsure?
  • Tone/brevity: Did response match voice constraints? </principle_5>

</essential_principles>

<intake> What would you like to do?
  1. Create evals - Build an evaluation suite to test voice agent behavior
  2. Optimize from evals - Analyze failing evals and improve the prompt systematically
  3. Surgical edit - Make a targeted change to fix a specific behavior
  4. Audit prompt - Review an existing prompt for anti-patterns and opportunities
  5. Something else - Describe what you need

Wait for response before proceeding. </intake>

<routing> | Response | Workflow | |----------|----------| | 1, "create evals", "build evals", "evaluation", "test suite" | `workflows/create-evals.md` | | 2, "optimize", "failing", "improve", "from evals" | `workflows/optimize-from-evals.md` | | 3, "surgical", "edit", "fix", "specific", "targeted" | `workflows/surgical-prompt-edit.md` | | 4, "audit", "review", "check", "analyze" | `workflows/audit-prompt.md` | | 5, other | Clarify intent, then route |

After reading the workflow, follow it exactly. </routing>

<reference_index> All domain knowledge in references/:

Prompt Patterns: prompt-structure.md, voice-constraints.md Evaluation: eval-criteria.md, rubric-types.md Optimization: common-failures.md, fix-patterns.md </reference_index>

<workflows_index> | Workflow | Purpose | |----------|---------| | create-evals.md | Build comprehensive eval suites for voice agent behavior | | optimize-from-evals.md | Systematically improve prompts based on eval failures | | surgical-prompt-edit.md | Make targeted, minimal changes to fix specific behaviors | | audit-prompt.md | Review prompts for anti-patterns and improvement opportunities | </workflows_index>

<quick_commands> Common patterns this skill handles:

  • "My agent is giving wrong hours" → surgical-edit workflow
  • "Agent transfers when it shouldn't" → create evals → optimize
  • "Build tests for my new prompt" → create-evals workflow
  • "Review this prompt for issues" → audit-prompt workflow
  • "Agent says too much" → surgical-edit (brevity constraint) </quick_commands>

<success_criteria> This skill succeeds when:

  • Eval suites comprehensively cover agent behavior
  • Prompt changes are driven by data, not intuition
  • Edits are minimal and targeted
  • Pass rates improve without regressions
  • Voice-specific constraints are preserved </success_criteria>

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:26:58.176Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Sahiln13",
    "href": "https://github.com/sahiln13/voice-agent-claude-skill",
    "sourceUrl": "https://github.com/sahiln13/voice-agent-claude-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T04:14:03.569Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T04:14:03.569Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/sahiln13-voice-agent-claude-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to voice-agent-prompt-engineer and adjacent AI workflows.