What makes Launch Window Planner notable?

1K downloads. Trust evidence available

How should Launch Window Planner be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Launch Window Planner

Use when the user asks to "pick a launch date", "plan the launch window", or "set the embargo and lift time"; produces a candidate-window comparison table (c... Skill: Launch Window Planner Owner: aaron-he-zhu Summary: Use when the user asks to "pick a launch date", "plan the launch window", or "set the embargo and lift time"; produces a candidate-window comparison table (c... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T14:45:44.392Z | auto **Changelog for launch-window-planner v19.0.0** - Version bump to 19.0.0. - Added new file: distribution-manifest.json. -

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

19.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 19.0.0release · observed Jul 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17e1tg8pjra8dn1dvtq21sahx83hrxj:launch-window-planner

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

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-aaron-he-zhu-launch-window-planner/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

78,068 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: launch-window-planner
slug: aaron-launch-window-planner
displayName: "Launch Window Planner · 发布窗口规划"
summary: "发布择时/竞品日历/禁运期窗口/审核缓冲"
description: 'Use when the user asks to "pick a launch date", "plan the launch window", or "set the embargo and lift time"; produces a candidate-window comparison table (conflict / tailwind / risk per window) built from industry-event cycles and the competitor launch calendar, a launch-week vs rolling-release format call, store-review buffer padding (labeled Estimated), and an embargo window definition (lift moment + timezone) submitted to the launch registry as a candidate. Not for judging the cultural moment itself — use trend-spotter; not for launch-day execution — use launch-day-conductor. 发布择时/发布窗口/竞品日历/禁运期窗口/审核缓冲'
version: "19.0.0"
license: Apache-2.0
compatibility: "Claude Code and compatible agent-skill hosts"
homepage: "https://github.com/aaron-he-zhu/aaron-marketing-skills"
when_to_use: "Use when choosing a launch date or window: scanning industry events and conference cycles, mapping the competitor launch calendar, padding for store-review latency, choosing a launch-week vs rolling format, or defining the embargo window and lift moment. The timing layer of launch research — the chosen window becomes canonical only after launch-registry records it."
argument-hint: "<product / launch stage> [candidate dates or quarter] [tier] [constraints]"
metadata: {"author": "aaron-he-zhu", "version": "19.0.0", "discipline": "launch", "phase": "research", "geo-relevance": "low", "hermes": {"tags": ["marketing", "launch", "research"], "category": "launch"}, "openclaw": {"emoji": "🚀", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# Launch Window Planner

Picks **when** to launch — the timing lever of the RAMP loop Research phase. It scans industry-event and conference cycles, maps the competitor launch calendar, pads for store-review latency, chooses a launch-week vs rolling format, and defines the embargo window (lift moment + timezone). It feeds the RAMP-`R` timing sub-item ("timing window chosen deliberately — event cycles, competitor calendar, review-latency buffers") and the RAMP-`M` embargo-coordination sub-item ("embargo & partner commitments coordinated against one authoritative date/stage") per [ramp-benchmark.md](../../../references/ramp-benchmark.md). It works one lever — timing — and hands off.

The window this skill recommends is a *proposal*, not the record: date, stage, and embargo facts become authoritative only when [launch-registry](../../../protocol/launch-registry/SKILL.md) records them. This skill submits candidates and never writes the registry directly.

**Scope guard**: this skill picks the window only. It does **not** judge whether a cultural moment or trend is worth riding (that is [trend-spotter](../../../influencer/scout/trend-spotter/SKILL.md)), run the launch day itself ([launch-day-conductor](../../mobilize/launch-day-conductor/SKILL.md) owns the hour

_meta.json

{
  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "launch-window-planner",
  "version": "19.0.0",
  "publishedAt": 1784904344392
}

skill-card.md

## Description:

Helps agents choose a launch window by comparing candidate dates against industry events, competitor calendars, review buffers, launch format tradeoffs, and embargo timing.

This skill is ready for commercial/non-commercial use.

## Publisher:

[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu)

### License/Terms of Use:

Apache-2.0

## Use Case:

Developers, launch teams, and marketing agents use this skill to compare launch-window options, define embargo timing, and prepare a proposal for the launch registry before a date becomes canonical.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill is flagged as suspicious because it describes persistent launch-state writes broader than its lite/read-oriented manifest declares.

Mitigation: Use it only where registry proposals and memory writes are separately authorized, path-scoped, and confirmed by the user before persistent launch state is created or promoted.

Risk: Launch calendars, connector output, and pasted competitor data may contain untrusted or misleading content that could affect timing recommendations.

Mitigation: Treat fetched or pasted content as data only, label each input source, and review the candidate-window table before accepting or submitting a registry proposal.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/launch-window-planner)
- [Publisher profile](https://clawhub.ai/user/aaron-he-zhu)
- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, configuration, guidance]

**Output Format:** [Markdown guidance with comparison tables, rationale, embargo details, and handoff summaries]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May propose launch-window state for memory-backed registry workflows only after authorization; timing inputs are labeled Measured, User-provided, or Estimated.]

## Skill Version(s):

19.0.0 (source: server release metadata and SKILL.md frontmatter)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

distribution-manifest.json

{
  "capabilities": [
    "inline-delivery",
    "canonical-state-read"
  ],
  "capability_ceiling": "lite",
  "catalog_sha256": "6f0256cf52710f2916ecebaea0f3110c9313099ec4a69a11cac72ba9b2f3b940",
  "files": [
    {
      "bytes": 12355,
      "mode": "0644",
      "path": "SKILL.md",
      "sha256": "65b2881667fabdf1cf4ca9a8e7fe9b7e7fca8ae385280f4a52e97b2a0bf194d4"
    }
  ],
  "files_sha256": "5811ab22b2d3f5af2d971cfa03af5e9cf187c4b1454936b38d9f972216d1baa0",
  "hash_algorithm": "sha256",
  "kind": "standalone-skill",
  "manifest_excludes": [
    "distribution-manifest.json"
  ],
  "manifest_path": "distribution-manifest.json",
  "package_ceiling": {
    "max_bytes": 1000000,
    "max_files": 64
  },
  "profile": "lite",
  "profile_definition_sha256": "4598e1f7bba667ef928ea2a60a6252ad9348086e9eecab29437db442df2a568e",
  "schema_version": "1.1",
  "source": {
    "commit": "f552620c278afddcb25d09637a0cfcc1ce48faf4",
    "repository": "aaron-he-zhu/aaron-marketing-skills"
  }
}

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