Crawler Summary

travel-itinerary-generator answer-first brief

Generates a personalized travel itinerary based on user-provided vacation details. Use when a user requests a travel plan, trip itinerary, picnic plan, or day-by-day vacation schedule, or plan a itinery, trip, picnic. --- name: travel-itinerary-generator description: "Generates a personalized travel itinerary based on user-provided vacation details. Use when a user requests a travel plan, trip itinerary, picnic plan, or day-by-day vacation schedule, or plan a itinery, trip, picnic." --- Travel Itinerary Generator This skill generates a geographically optimized, season-aware, and budget-aligned travel itinerary after collecting and Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

travel-itinerary-generator is best for the 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: 94/100

travel-itinerary-generator

Generates a personalized travel itinerary based on user-provided vacation details. Use when a user requests a travel plan, trip itinerary, picnic plan, or day-by-day vacation schedule, or plan a itinery, trip, picnic. --- name: travel-itinerary-generator description: "Generates a personalized travel itinerary based on user-provided vacation details. Use when a user requests a travel plan, trip itinerary, picnic plan, or day-by-day vacation schedule, or plan a itinery, trip, picnic." --- Travel Itinerary Generator This skill generates a geographically optimized, season-aware, and budget-aligned travel itinerary after collecting and

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

Tejasashinde

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Unpublished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/tejasashinde/travel-itinerary-generator.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

Tejasashinde

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

Generates a personalized travel itinerary based on user-provided vacation details. Use when a user requests a travel plan, trip itinerary, picnic plan, or day-by-day vacation schedule, or plan a itinery, trip, picnic. --- name: travel-itinerary-generator description: "Generates a personalized travel itinerary based on user-provided vacation details. Use when a user requests a travel plan, trip itinerary, picnic plan, or day-by-day vacation schedule, or plan a itinery, trip, picnic." --- Travel Itinerary Generator This skill generates a geographically optimized, season-aware, and budget-aligned travel itinerary after collecting and

Full README

name: travel-itinerary-generator description: "Generates a personalized travel itinerary based on user-provided vacation details. Use when a user requests a travel plan, trip itinerary, picnic plan, or day-by-day vacation schedule, or plan a itinery, trip, picnic."

Travel Itinerary Generator

This skill generates a geographically optimized, season-aware, and budget-aligned travel itinerary after collecting and validating required trip details.It follows a strict sequential gated workflow and leverages internal reference documents to ensure consistency and quality.


When to Use

Activate this skill when the user explicitly requests:

  • A travel itinerary
  • A trip plan
  • A vacation schedule
  • A day-by-day travel plan

Do NOT activate for:

  • General travel advice
  • Visa, packing, or safety-only questions
  • Hotel-only or flight-only requests

Required Trip Details (Conditional Sequential Collection)

Before asking any questions, first scan the user's message for the required fields:

Required fields:

  1. Vacation Destination
  2. Duration of Stay
  3. Month of Travel
  4. Budget (Optional)

Step 0 – Input Detection

If ALL required fields (except optional Budget) are already present in the user’s message:

  • Do NOT ask sequential questions.
  • Proceed directly to validation phase.

If SOME required fields are missing:

  • Ask ONLY for the missing fields.
  • Ask them one at a time.
  • Do NOT re-ask fields already provided.

Sequential Question Rule

Only trigger sequential questioning when required data is missing. Never ask for information already clearly provided in the prompt.


Sequential Question Format

Use this exact structured format:

Step 1: Whats the name of Vacation Destination:

Step 2: Duration of Stay there:

Step 3: Month of Travel:

Wait for user response after each step.
Do not proceed until valid input is received.


Validation Phase

Before itinerary generation:

  • Validate using references/validation-checklist.md
  • Ensure:
    • Duration > 0 (positive integer)
    • Budget is numeric (strip symbols if needed)
    • Month normalized to standard month name
    • All required fields collected
    • User confirms summary

If validation fails:

  • Re-prompt only for the invalid field
  • Do not continue

Planning Framework (Reference-Driven)

After validation and confirmation, construct the itinerary using the following references:


1. Attraction Prioritization

Use: references/attraction-ranking.md

Priority order:

  1. Must-see attractions
  2. Attractions aligned with Interests
  3. Iconic landmarks
  4. Seasonal highlights
  5. Secondary nearby activities

If duration limits coverage:

  • Prioritize by geographic proximity
  • Inform user what cannot fit realistically

Never fabricate attractions.


2. Geographic Clustering

Use: references/geographic-clustering.md

Rules:

  • Group by district/neighborhood
  • Avoid backtracking
  • Prefer walking clusters
  • Follow daily density limits:

| Trip Length | Activities per Day | |-------------|-------------------| | 1–2 days | 1–2 | | 3–7 days | 2–4 | | 8+ days | 2–3 + rest blocks |


3. Seasonal Adjustment

Use: references/seasonal-considerations.md

Adjust itinerary for:

  • Rainy seasons
  • Extreme heat
  • Winter conditions
  • Peak tourism months

Always include brief seasonal notes when relevant.


4. Budget Allocation

Use: references/budget-guidelines.md

If budget provided:

  • Estimate daily spend (Total ÷ Duration)
  • Suggest transport tier
  • Suggest dining tier
  • Label premium options as Optional Upgrade

If budget is NOT provided: Estimate an appropriate mid-range daily budget based on destination cost level.

Clearly state: “Estimated mid-range budget assumption used.” Do not invent unrealistic luxury or ultra-budget assumptions.


Output Construction

Use structure defined in: assets/itinerary-template.md


Optional Upgrades

(Only if budget tier allows)


Travel Tips

  • Transport guidance
  • Booking advice
  • Cultural notes

Iterative Refinement Loop

After presenting the itinerary:

Ask:

  • “Would you like to adjust any day?”
  • “Would you prefer more relaxation time?”
  • “Would you like more premium or more budget options?”

Refine while preserving:

  • Geographic clustering rules
  • Budget alignment
  • Activity density constraints

Repeat until user confirms satisfaction.


Edge Case Handling

Very Large Budget

Offer optional premium tours clearly labeled.

Very Short Trips (≤2 Days)

Limit to 1–3 major attractions per day.


Behavioral Rules

The skill must:

  • Ask one required field at a time
  • Never assume missing values
  • Never fabricate attractions
  • Never skip validation
  • Always follow reference documents
  • Always confirm inputs before generating
  • Save the final itinerary as markdown file

Example Behavior

User: “Plan a 5-day itinerary to Kyoto in October with a $2500 budget.”

Skill Flow:

  1. Sequentially confirm each required field
  2. Validate and confirm summary
  3. Rank attractions (attraction-ranking.md)
  4. Cluster geographically (geographic-clustering.md)
  5. Adjust seasonally (seasonal-considerations.md)
  6. Estimate daily spend (budget-guidelines.md)
  7. Generate output using (itinerary-template.md)
  8. Save final output as travel-plan.md

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/tejasashinde-travel-itinerary-generator/snapshot"
curl -s "https://xpersona.co/api/v1/agents/tejasashinde-travel-itinerary-generator/contract"
curl -s "https://xpersona.co/api/v1/agents/tejasashinde-travel-itinerary-generator/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 6d 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/tejasashinde-travel-itinerary-generator/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/tejasashinde-travel-itinerary-generator/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/tejasashinde-travel-itinerary-generator/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/tejasashinde-travel-itinerary-generator/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/tejasashinde-travel-itinerary-generator/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/tejasashinde-travel-itinerary-generator/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T02:25:21.339Z"
    }
  },
  "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"
    },
    {
      "key": "the",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:the|supported|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": "Tejasashinde",
    "href": "https://github.com/tejasashinde/travel-itinerary-generator",
    "sourceUrl": "https://github.com/tejasashinde/travel-itinerary-generator",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:18:52.918Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/tejasashinde-travel-itinerary-generator/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/tejasashinde-travel-itinerary-generator/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:18:52.918Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/tejasashinde-travel-itinerary-generator/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/tejasashinde-travel-itinerary-generator/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 travel-itinerary-generator and adjacent AI workflows.