Xpersona

Crawler Summary

deepresearch-prompt-creator answer-first brief

Triggers when the user expresses an intent to perform deep research, analysis, or technical investigation (e.g., 'help me research', 'analyze this technology', 'market study'), or explicitly requests a DeepResearch prompt. Generates a valid, high-quality prompt for Gemini DeepResearch. --- name: deepresearch-prompt-creator description: "Triggers when the user expresses an intent to perform deep research, analysis, or technical investigation (e.g., 'help me research', 'analyze this technology', 'market study'), or explicitly requests a DeepResearch prompt. Generates a valid, high-quality prompt for Gemini DeepResearch." --- DeepResearch Prompt Creator This skill helps you generate a sophisticated, d Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

deepresearch-prompt-creator 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 94/100

deepresearch-prompt-creator

Triggers when the user expresses an intent to perform deep research, analysis, or technical investigation (e.g., 'help me research', 'analyze this technology', 'market study'), or explicitly requests a DeepResearch prompt. Generates a valid, high-quality prompt for Gemini DeepResearch. --- name: deepresearch-prompt-creator description: "Triggers when the user expresses an intent to perform deep research, analysis, or technical investigation (e.g., 'help me research', 'analyze this technology', 'market study'), or explicitly requests a DeepResearch prompt. Generates a valid, high-quality prompt for Gemini DeepResearch." --- DeepResearch Prompt Creator This skill helps you generate a sophisticated, d

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

Glasses666

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Unpublished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.

View Source

Setup snapshot

git clone https://github.com/glasses666/skill-deepresearch-prompt-creator.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

Glasses666

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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

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

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

1

Snippets

0

Languages

typescript

Parameters

Executable Examples

markdown

---
date: [Current Date]
tags: [[Domain], [Intent], [Keywords]]
model_version: v2.0
---

# DeepResearch Prompt: [Topic]

## 🧩 Context & Background
[Summary of why this research is happening. Current stage of project.]

## 🎯 Objectives
[The core questions to be answered.]

## 📋 Scope
[Boundaries of the research. What is IN and what is OUT.]

## 🔍 Key Questions
- [Specific Question 1]
- [Specific Question 2]

## 💻 Constraints (Domain Adapted)
[Insert logic from Adapter, e.g., "Python 3.10+ only"]

## 🚫 Anti-Goals
[Insert logic from Adapter, e.g., "No deprecated frameworks"]

## 📚 Sources & Citations
[Insert Source Bias, e.g., "Prefer .edu or Official Docs"]

## 📊 Expected Output & Format
[Describe output structure, tables, code requirements]

## 🧠 Strategy
If information is missing, [Strategy, e.g., "list assumptions and continue" or "stop and ask"].

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Triggers when the user expresses an intent to perform deep research, analysis, or technical investigation (e.g., 'help me research', 'analyze this technology', 'market study'), or explicitly requests a DeepResearch prompt. Generates a valid, high-quality prompt for Gemini DeepResearch. --- name: deepresearch-prompt-creator description: "Triggers when the user expresses an intent to perform deep research, analysis, or technical investigation (e.g., 'help me research', 'analyze this technology', 'market study'), or explicitly requests a DeepResearch prompt. Generates a valid, high-quality prompt for Gemini DeepResearch." --- DeepResearch Prompt Creator This skill helps you generate a sophisticated, d

Full README

name: deepresearch-prompt-creator description: "Triggers when the user expresses an intent to perform deep research, analysis, or technical investigation (e.g., 'help me research', 'analyze this technology', 'market study'), or explicitly requests a DeepResearch prompt. Generates a valid, high-quality prompt for Gemini DeepResearch."

DeepResearch Prompt Creator

This skill helps you generate a sophisticated, domain-adapted prompt for Gemini DeepResearch. It ensures high context awareness, reduces hallucinations via specific constraints, and manages user expectations through a reference table.

The Process

1. Context Analysis & Intent Recognition

First, analyze the conversation history and any active files to determine:

  • Domain: Software Development, Academic/Research, Business/Market, or General Engineering.
  • Intent: e.g., "Build MVP", "Write Literature Review", "Competitor Analysis".
  • Topic: The core subject of research.

2. Domain Adapter Configuration

Based on the Domain, apply the following logic to configure constraints and anti-goals.

| Domain | Logic & Constraints | Source Bias | Anti-Goals | | :--- | :--- | :--- | :--- | | Software Development | Context Check: Detect/Ask for OS (Win/Linux), Language Version, Environment.<br>Constraint: "Must be compatible with [detected_stack]. Prefer production-ready libraries." | GitHub, StackOverflow, Official Docs | "Deprecated libraries", "Windows-only tools (unless specified)", "Hello World level examples" | | Academic / Research | Context Check: Is this for a Review (Learning) or Research (Innovation)?<br>Constraint: <br>Review: "Focus on classic theories & standard definitions."<br>Research: "Focus on SOTA methods (last 3 years). Highlight gaps." | .edu, arXiv, IEEE, ACM, Google Scholar | Review: "Preprints without citations"<br>Research: "Textbook definitions", "Popular science articles" | | Business / Market | Context Check: Region (Global/China/US), Perspective.<br>Constraint: "Compare [Region A] vs [Region B] data. Note statistical criteria." | Industry Reports (Gartner/IDC), Financial News (Bloomberg/Reuters) | "Unverified blogs", "Promotional content", "Outdated reports (>2 years)" |

3. Generate Reference Table Skeleton

Before generating the prompt, create a Reference Table Skeleton to show the user what they might expect from DeepResearch. Do NOT output an empty table. Pre-fill 1-2 rows with hypothetical examples relevance to the topic.

Format: | Dimension | Expected Content (Preview) | Remarks | | :--- | :--- | :--- | | [Relevant-Dim-1] | [Example of what to expect] | [Constraint/Note] | | [Relevant-Dim-2] | [Example] | [Note] |

Example (Topic: A-Share Quant Framework): | Dimension | Expected Content (Preview) | Remarks | | :--- | :--- | :--- | | Architecture | Backtrader vs. Zipline vs. Custom | Focus on Python 3.10+ compat | | Data Source | Tushare / BaoStock / Crawlers | Check free tier limits |

4. Generate the Prompt (v2.0 Template)

Construct the Markdown prompt using the configured constraints.

---
date: [Current Date]
tags: [[Domain], [Intent], [Keywords]]
model_version: v2.0
---

# DeepResearch Prompt: [Topic]

## 🧩 Context & Background
[Summary of why this research is happening. Current stage of project.]

## 🎯 Objectives
[The core questions to be answered.]

## 📋 Scope
[Boundaries of the research. What is IN and what is OUT.]

## 🔍 Key Questions
- [Specific Question 1]
- [Specific Question 2]

## 💻 Constraints (Domain Adapted)
[Insert logic from Adapter, e.g., "Python 3.10+ only"]

## 🚫 Anti-Goals
[Insert logic from Adapter, e.g., "No deprecated frameworks"]

## 📚 Sources & Citations
[Insert Source Bias, e.g., "Prefer .edu or Official Docs"]

## 📊 Expected Output & Format
[Describe output structure, tables, code requirements]

## 🧠 Strategy
If information is missing, [Strategy, e.g., "list assumptions and continue" or "stop and ask"].

Output & Interaction

  1. Present Draft: Output the Reference Table Skeleton first, followed by the Generated Prompt in a code block.
  2. Ask for Confirmation: "Does this structure look right? Should we adjust the constraints or the reference table?"
  3. Save to File: Once confirmed (or if explicitly requested), save the file.
    • Path: ./deepresearch-prompts/[topic-slug]-[date].md (Create directory if missing).
    • Action: Use write_to_file.

Contract & API

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

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

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/glasses666-skill-deepresearch-prompt-creator/snapshot"
curl -s "https://xpersona.co/api/v1/agents/glasses666-skill-deepresearch-prompt-creator/contract"
curl -s "https://xpersona.co/api/v1/agents/glasses666-skill-deepresearch-prompt-creator/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
Agent hubMore from this sourceOpenClaw agents
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/glasses666-skill-deepresearch-prompt-creator/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/glasses666-skill-deepresearch-prompt-creator/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/glasses666-skill-deepresearch-prompt-creator/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/glasses666-skill-deepresearch-prompt-creator/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/glasses666-skill-deepresearch-prompt-creator/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/glasses666-skill-deepresearch-prompt-creator/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:43:42.625Z"
    }
  },
  "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": "Glasses666",
    "href": "https://github.com/glasses666/skill-deepresearch-prompt-creator",
    "sourceUrl": "https://github.com/glasses666/skill-deepresearch-prompt-creator",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:14:11.964Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/glasses666-skill-deepresearch-prompt-creator/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/glasses666-skill-deepresearch-prompt-creator/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:14:11.964Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/glasses666-skill-deepresearch-prompt-creator/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/glasses666-skill-deepresearch-prompt-creator/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
  }
]

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