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Agent Skill · 研究检索

podcast-episode-launch-pack(播客剧集启动包)

podcast-episode-launch-pack 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

podcast-episode-launch-pack 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 38,233。

总安装 1,591周安装 65GitHub Stars 公开资料未说明下载 510核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:podcast-episode-launch-pack(播客剧集启动包)
来源仓库:https://github.com/zepoldani/podcast-episode-launch-pack
安装命令:
openclaw skills install podcast-episode-launch-pack
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install podcast-episode-launch-pack

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

podcast-episode-launch-pack 将播客脚本转化为完整发布包,包含标题变体、社交文案与 SEO 标签。适用于制作团队系统化准备每期节目的推广材料与元数据描述。输出节目注释、章节时间轴与嘉宾介绍模板,提升内容专业性与可发现性。需输入原始脚本或大纲以确保信息一致性,避免关键词堆砌影响自然排名。

建议配合人工审核后再提交至各大播客平台,确保合规性与准确性。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install podcast-episode-launch-pack;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

podcast-episode-launch-pack 怎么安装?

在终端执行 openclaw skills install podcast-episode-launch-pack。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

podcast-episode-launch-pack 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

podcast-episode-launch-pack 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install podcast-episode-launch-pack 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

podcast-episode-launch-pack 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

podcast-episode-launch-pack 用的人多吗?

公开数据是累计安装 1,591 次,近一周安装 65 次,下载 510 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

podcast-episode-launch-pack 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
podcast-episode-launch-pack

播客剧集启动包 · 本页

1,591—执行命令MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

slug
podcast-episode-launch-pack
name
Podcast Episode Launch Pack
description
Turn a podcast transcript, episode outline, or topic into a complete launch package. Outputs episode titles (curiosity + clarity variants), full show notes with timestamps and key takeaways, a subscriber email blast, and an Instagram audiogram caption — plus optional pull quotes, a LinkedIn post draft, and a promo tweet thread. Use when a creator asks for show notes, podcast launch copy, episode title, podcast description, episode summary, audiogram caption, or anything related to publishing and promoting a podcast episode.
version
1.0.0
license
MIT
tags
metadata
openclaw
requires
env
[]
bins
[]

Podcast Episode Launch Pack

Turn a recorded episode or planned outline into a complete launch package — titles, show notes, subscriber email, and audiogram caption. One paste in, full launch out.

When to use this skill

Trigger this skill when the user:

  • Pastes a transcript or episode outline and asks for show notes, a podcast description, or launch copy
  • Says "write my show notes," "write my podcast description," "give me an episode title," "write my podcast launch," "help me publish this episode," "write my audiogram caption," "write an email for my podcast episode," or "create a launch pack for my episode"
  • Asks for an episode summary, key takeaways, or timestamps from a transcript
  • Wants promo content (email, social, audiogram) for a podcast episode they've recorded or planned

Do NOT trigger for:

  • Generating audio or producing the episode itself — out of scope
  • Full podcast strategy, show naming, or feed setup — out of scope
  • Diagnosing why a past episode underperformed without new content to package — out of scope

Step 1 — Identify input state, episode format, and missing information

Episode format (ask if not clear from input)

Ask one question up front if the format can't be inferred:

*"Is this a solo episode, an interview episode, or a narrative/storytelling episode?"*

This determines how show notes are structured, whether a guest bio is needed, and how timestamps are labeled. Do not ask any other clarifying questions before determining format.

FormatKey difference
Solo / educationalCreator's voice and insights throughout; takeaways are their own frameworks or lessons
InterviewGuest is the primary draw; ask for guest name + 1–2 sentence bio if not in input; show notes lead with guest intro; pull quotes weighted toward guest
Narrative / storytellingChronological or chapter-based structure may not fit; offer "Story Highlights" section instead of numbered timestamps if the format doesn't support chapter breaks

Input states

State A: Transcript (primary) Full or partial transcript from auto-captions, Descript, Whisper, Otter, or any other source. Enables accurate timestamps, real pull quotes, and genuine takeaways drawn directly from what was said. This is the richest input — produce the most specific, detailed output possible from it.

State B: Topic + outline or show notes draft (secondary) Pre-record or for podcasters who don't transcribe. Timestamps become structural placeholders (0:00, XX:XX format). Takeaways come from the outline's planned points. Fully functional — note once that timestamps should be filled in after recording.

State C: Topic only (edge case) Thin input. Produce titles, email, audiogram caption, and a show notes shell with structural placeholders. Note once: *"With just a topic, I'll give you the full structure — fill in timestamps and takeaways after you record."* Do not repeat this caveat.

Optional inputs (use if provided, don't ask twice)

  • Target audience or listener persona
  • Show name and host name (for email sign-off and show notes header)
  • Guest name and bio (interview episodes — if not provided and format is interview, ask for these specifically)
  • Tone — conversational, educational, storytelling (default: infer from input)
  • Episode number (include in title if provided)

Step 2 — Generate the launch package

Deliver all core deliverables in a single response, clearly labeled with H2 headers. Never skip a core deliverable. Offer optional deliverables at the end.


Episode Titles (2 variants)

Two variants, labeled by intent:

Curiosity-framed: Withholds one key detail or teases the outcome. Drives browse and recommendation traffic — someone scrolling sees it and wants to know more.

Clarity-framed: Direct, keyword-forward, searchable. Leads with the primary topic or guest name. Drives search traffic in podcast apps and Google.

Rules:

  • Maximum 50 characters each — most podcast apps truncate titles at this point in browse and search views
  • Episode number goes after the title keyword, not before: "Deep Work With Cal Newport | Ep. 14" beats "Ep. 14: Deep Work With Cal Newport"
  • For interview episodes: guest name appears in both variants — it's a keyword (listeners search by guest name)
  • No manufactured urgency or all-caps words

Show Notes

The anchor deliverable. Structure in this exact order:

Episode summary (opening paragraph): 150–200 words. The first 150 characters must be keyword-dense and hook the listener — this is what Spotify and Apple display before truncation, and what Google indexes most heavily for search. Written in the show's voice.

Guest intro (interview episodes only): 1–2 sentences introducing the guest: name, title/role, why they're on the show. Placed immediately after the summary paragraph. Use provided bio or construct from context; never invent credentials.

Key takeaways: 3–5 bullets. Scannable, specific, and written so a reader can extract value without listening. These serve two purposes: helping undecided listeners decide to tune in, and giving Google structured content to index as featured snippets. Do not write generic bullets ("We discuss productivity") — write the actual insight ("Why blocking your calendar in 90-minute windows outperforms to-do lists").

Timestamps / chapters:

  • State A (transcript): accurate timestamps derived from transcript structure. Minimum 4. First at 0:00. Labels must be content-specific — never "Intro," "Part 1," or "Outro" as standalone labels.
  • State B (outline): structural placeholders (0:00 Topic, XX:XX Topic). Creator fills in times after recording.
  • State C (topic only): omit timestamps or note they'll be added post-recording.
  • Narrative format: replace numbered timestamps with a "Story Highlights" section — 3–5 prose sentences capturing the arc.

Resources section: List any tools, books, links, or references mentioned. Use [LINK] placeholders. If none are in the input, include the section with a placeholder row — host fills in after recording.

Guest bio (interview episodes only, extended): 3–4 sentences at the bottom of the show notes. More detailed than the intro paragraph. Include where to find the guest online with [GUEST_LINK] placeholder.


Subscriber Email Blast

Pre-written, ready to send. Podcast audiences are email-forward — this is the highest-conversion channel for most indie shows.

  • Subject line: ≤60 characters. Curiosity or specificity. For interview episodes, lead with the guest name or their most counterintuitive claim.
  • Preheader: ≤100 characters. Complements the subject, doesn't repeat it.
  • Body: ~120 words. Host's voice, first person. Opens with why this episode matters, highlights the single most compelling moment or takeaway, closes with a listen CTA using [EPISODE_LINK] placeholder.
  • Sign-off: Host name and show name (or [HOST_NAME] / [SHOW_NAME] placeholders if not provided).

Instagram Audiogram Caption

~100 words. Optimized for the audiogram format — a short audio clip from the episode visualized as a waveform or animated card, posted to Instagram or TikTok.

  • Opens with a pull quote from the episode (real quote from transcript if available; constructed hook in the episode's voice if not)
  • 2–3 sentences of context framing the quote's significance
  • CTA: "Full episode linked in bio" or "Listen wherever you get your podcasts"
  • 5 relevant hashtags at the end — mix of broad (#podcast), niche (#productivitypodcast), and topic-specific

Optional Deliverables

After delivering the four core outputs above, offer all three options in one message. Generate whichever the user requests:

Pull quotes (2–3) Short, punchy, attribution-ready. Formatted for visual content: quote cards, audiogram overlays, carousel slides. For transcript input: pull real quotes. For outline input: construct quotes in the speaker's voice that reflect the planned content, and label them as drafted rather than verbatim. Each quote ≤50 words.

LinkedIn post draft A standalone LinkedIn post about the episode — self-contained and ready to publish as-is. Offer the refinement option explicitly: *"I'll generate a LinkedIn post draft for this episode. If you have the LinkedIn Post Optimizer skill installed, run the draft through it for a structured polish — otherwise it's ready to publish as-is."*

3-tweet / X promo thread Sequence: (1) announcement with [EPISODE_LINK], (2) the most compelling insight or quote from the episode, (3) CTA to follow the show. Each ≤280 characters.


Step 3 — SEO and discovery rules

Podcast discovery is structurally different from YouTube. Apply rules precisely where they have impact; don't overpromise where they don't.

App search (Apple Podcasts, Spotify)

These platforms index primarily on episode title and partially on the description field.

  1. Title keyword position: Primary keyword or guest name in the first 4 words. Apps display ~50 chars before truncation — front-loading the keyword maximizes both search match and scan-level appeal.
  2. Description opening: First 150 characters keyword-dense. This is the visible text in Spotify and Apple before "more" truncation. Same function as YouTube's above-the-fold description.
  3. Guest name as keyword: For interview episodes, the guest's name is often the highest-value search term. It must appear in the title and in the first line of the show notes summary.
  4. No keyword stuffing in descriptions: Spotify and Apple don't reward it the way Google might. Stuffing reads as spam to human listeners. Write for the listener; the keyword placement rules above are sufficient.

Google (show notes page)

Google indexes the podcast's show notes web page — this is where show notes SEO has meaningful impact.

  1. H2 headings: Show notes section labels should be descriptive and keyword-rich. "How Cal Newport Blocks His Calendar" beats "Time Management Tips."
  2. Takeaway bullets: Google pulls structured bullet lists for featured snippets. Specific, insight-led bullets (not generic summaries) are the target.
  3. Guest name + credentials: Google surfaces podcast episodes in searches for the guest's name. Prominent guest name placement in the summary and bio increases this discoverability.

LLM layer

Keyword selection draws on training knowledge of what listeners search in a given niche. Same honest ceiling as the YouTube Launch Kit — works reliably for evergreen topics, less reliable for trending ones.

Honest ceiling — state once per session, do not repeat

*"Podcast discovery is harder than video. Well-optimized show notes and titles help, but for most indie shows, your existing audience, newsletter, guest-swapping, and cross-promotion drive more listens than SEO. This skill handles the packaging — the distribution is still yours."*

This is not a caveat to apologize for — it's accurate, and buyers will trust a skill that says it.


Step 4 — Style guardrails

  • Never invent quotes. For transcript inputs, all pull quotes must be verbatim from the transcript. For outline inputs, constructed quotes must be labeled as drafted ("Framed from your outline — adjust to match what you actually said").
  • Never invent guest credentials. If the guest bio isn't provided and can't be inferred from the input, use placeholders: [GUEST_TITLE], [GUEST_COMPANY]. Do not fill in details that weren't given.
  • Never invent timestamps. Placeholder format only for non-transcript inputs. Do not estimate or guess times.
  • Match the show's voice. If the input is casual and conversational, the show notes and email are casual and conversational. Do not impose a formal or corporate register on a show that doesn't use one.
  • Takeaways must be specific. "We talk about focus" is not a takeaway. "Why 90-minute focus blocks outperform hour-long ones" is. If the input doesn't support specific takeaways, note it and use the best available specificity — don't fill with generics.
  • No generic chapter labels. "Introduction," "Main Discussion," "Conclusion" are banned as standalone labels. Every chapter label must describe the actual content.

Step 5 — Follow-up offers

After delivering the package, offer once:

  • "Want the pull quotes, LinkedIn post draft, or promo tweet thread?"
  • "If you have a transcript, I can regenerate with accurate timestamps and real pull quotes."
  • "Want a version of the audiogram caption tuned for TikTok (shorter, punchier)?"

Do not auto-regenerate unless asked.

平台分布

OpenClaw

70.56%
按下载量换算360

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install podcast-episode-launch-pack 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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