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instagram-extractInstagram 摘录

Agent Skill

instagram-extract 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

总安装

282

周安装

12

GitHub Stars

公开资料未说明

下载量

99
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:instagram-extract(Instagram 摘录)
来源仓库:https://github.com/michailbul/laniameda-skills
仓库路径:skills/instagram-extract
安装命令:
npx skills add https://github.com/michailbul/laniameda-skills --skill instagram-extract
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/michailbul/laniameda-skills --skill instagram-extract

简介

instagram-extract 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。

  • 适用于内容研究、数据调研或信息聚合等需要从多个来源提取线索的任务场景。
  • 通过 npx skills add 命令安装,需确认权限范围和是否触发联网或文件读写操作。
  • 建议结合原始 README 核验具体用法,并检查仓库维护状态与安全性。
  • 使用前应评估是否会执行命令或访问外部资源,避免意外行为。

SKILL.md

Instagram Extract

Use Instagram as a “find + capture” stream: the user pastes a post link and says something generic like “save it”, and you decide what’s worth capturing, how to summarize it, and where it belongs.

The workflow should be agentic (use judgment) rather than deterministic.

Hard constraints:

  • Use the logged-in browser relay (browser tool with profile="chrome") when available.
  • Classify + save into the right pillar so it’s reusable later.
  • Report back in bullet points (no full transcript unless asked).
  • After saving, notify the media agent by appending a compact JSON record to the shared inbox file (details below).

Scope constraints (current reality):

  • This skill is for Instagram + Threads + LinkedIn (logged-in via Browser Relay / existing Chrome/Brave profile).
  • X/Twitter: don’t try to force it in Brave if it’s blocked; treat as out-of-scope for this skill (we’ll use a different approach/tool later).

Pillars (classification targets)

Pick the single best fit (canonical save) and optionally add a secondary tag when it overlaps. Do not duplicate saves across pillars unless the user explicitly asks.

Current pillars Michael wants to save:

Use these pillar ids in the media-agent inbox payload:

  1. Prompts — creating images (prompts_image)
  2. Tutorials/knowledge — marketing workflows (tutorials_marketing) — frameworks, copywriting, growth, positioning
  3. Design systems / design inspiration (design_inspo) — UI patterns, components, typography, layout
  4. Prompts — web design / development (prompts_webdev) — UI prompts, landing page prompts, component prompts

Also include optional tags like: storytelling, hooks, carousel, landing_page, ui, prompt_template, checklist, case_study.

Lightweight workflow (guidance, not a script)

1) Get access to the real post (relay)

  • Try to use browser relay takeover (profile="chrome").
  • If relay isn’t attached, ask the user to attach it (toolbar icon → badge ON).
  • If token is required, have the user set the gateway token in extension Options.

2) Extract enough to be useful

Prioritize signal over completeness.

For Instagram/Threads:

  • Caption: prefer og:description / og:title.
  • Carousel: grab slide text via image alt text (fast); OCR only when the slide text is garbled or crucial.

For LinkedIn:

  • Expand “see more” if present and extract the full post text.
  • If it’s a document carousel or images and text extraction is limited, still capture the media URLs + summarize what’s visible.

For all platforms:

  • Links: collect outbound URLs/domains if present.
  • Media: collect image URLs when available (good enough for downstream reuse).

3) Decide what matters (summarize)

Write 5–10 bullets focusing on:

  • the core idea / framework
  • anything immediately actionable
  • any reusable templates (hooks, structures, checklists)
  • any concrete examples worth saving

4) Decide what to do with it (agentic routing)

You’re optimizing for future reuse, not perfect capture.

Default behavior Michael wants:

  • If the user says "save it" and the post is weak/low-signal (generic motivation, no reusable artifact), ask once: “Not worth saving (too generic). Save anyway?”
  • If the user says "force save" / "save anyway": save regardless.
  • If the user says "light save": save a tiny note (title + link + 3 bullets) even if it’s generic.

Use these heuristics (not rules):

  • If it’s directly reusable instructions (a prompt, a template, a checklist, a swipeable structure) → save it.
  • If it’s vibes with no payload (generic motivation, no concrete steps) → don’t over-save; create a tiny note only if the framing is uniquely good.
  • If it’s ambiguous, ask *one* clarifying question max (e.g., “Do you want this saved as marketing knowledge or as design inspiration?”). Otherwise, pick your best guess and proceed.

Routing:

  • Prompt content (copy/paste generation instructions) → ingest via prompt-kb.
  • Tutorials/knowledge (marketing workflows) → local KB note.
  • Design systems / design inspiration → local KB note focused on patterns.
  • If it contains both a reusable prompt and a useful framework → save both (local KB summary + prompt-kb ingest).

5) Save (create durable artifacts)

A) Local KB save (tutorials/knowledge/design inspiration)

Save one canonical note in a stable, platform-agnostic structure:

  • kb/pillars/<pillar_id>/YYYY/MM/<YYYY-MM-DD>-<short-slug>.md

Where pillar_id is one of:

  • tutorials_marketing
  • design_inspo (If it’s a prompt-first asset, you can still save a short KB note, but the canonical storage may be prompt-kb.)

Also store a raw capture (optional but recommended when extraction is messy) in:

  • kb/inbox/<platform>/YYYY/MM/<YYYY-MM-DD>-<short-slug>.md

<platform> is instagram | threads | linkedin.

Note format (keep it tight):

  • Title (human readable)
  • Source URL
  • Platform (instagram|threads|linkedin)
  • Pillar (primary) + optional tags (secondary)
  • 5–10 bullet summary (your synthesis)
  • Why it matters (1–2 bullets)
  • Reusable templates/checklists (if any)
  • Links found (if any)
  • Media (image URLs if available)
  • Optional: extracted text only when it’s actually useful later

Slug guidance:

  • Prefer something that will be searchable later: <topic>-<creator> or <framework>-<topic>.

B) Prompt vault ingest (prompt-kb)

  • Use prompt-kb.
  • Tagging:

- Always include one: prompts | tutorials | resources | ideas - Add image_gen / video_gen / ui_design when appropriate - Add tool/model tags if known

  • Multiple slides/images for the same prompt template → shared promptIngestKey.

C) Media-agent handoff (always)

Append a single JSON line to: kb/_media_agent_inbox/ingest.jsonl

Schema (keep it compact):

{
  "createdAt": "YYYY-MM-DDTHH:mm:ssZ",
  "platform": "instagram|threads|linkedin",
  "url": "...",
  "pillar": "prompts_image|tutorials_marketing|design_inspo|prompts_webdev",
  "tags": ["optional", "tags"],
  "title": "...",
  "summary": ["...", "..."],
  "links": ["..."],
  "media": ["https://..."],
  "repurpose": {
    "x": {"hook": "...", "outline": ["...", "..."]},
    "carousel": {"slideTitles": ["...", "..."]},
    "shortVideo": {"beats": ["hook...", "beat...", "cta..."]},
    "cta": "..."
  },
  "saved": {
    "kbPaths": ["kb/..."],
    "promptKb": {"ingestKey": "optional", "tags": ["..."]}
  }
}

Implementation hint: use a tiny Python one-liner to append JSONL so you don’t need to read/overwrite the file.

6) Telegram report (bullet points only)

Return:

  • what it is (1 line)
  • 5–10 key takeaways
  • why it matters (1–2 bullets)
  • links found (if any)
  • what got saved + where (file path and/or “ingested to Convex”) + pillar + tags
  • Repurpose Pack (ALWAYS) — written in Michael’s voice (blunt, marketing-first, specific):

- X post: 1 hook + 3–5 bullet outline - Carousel: 6–8 slide titles - Short video: 15–30s script beats (hook → beats → CTA) - CTA: suggested comment keyword / next step

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.75%
按下载量换算36

Claude

31.55%
按下载量换算31

Cursor

18.58%
按下载量换算18

Gemini CLI

10.05%
按下载量换算10

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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