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schedule-social安排社交活动

Agent Skill

schedule-social 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

659

周安装

28

GitHub Stars

66

下载量

231
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:schedule-social(安排社交活动)
来源仓库:https://github.com/indranilbanerjee/digital-marketing-pro
仓库路径:skills/schedule-social
安装命令:
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill schedule-social
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/indranilbanerjee/digital-marketing-pro --skill schedule-social

简介

用于处理 GitHub 仓库、Issue 和代码协作信息,适合围绕项目状态进行整理。

  • 可协助分析 Pull Request、跟踪 Issue 进展或梳理代码变更历史。
  • 使用时需结合来源仓库 README 了解具体能力边界,避免误判协作事项。
  • 安装前应确认权限范围,注意是否会触发文件读写或命令执行操作。
  • schedule-social 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

/dm:schedule-social

Purpose

Schedule social media posts to one or more platforms with platform-specific formatting, optimized posting times, hashtag strategy, and engagement monitoring setup. Handles multi-platform distribution from a single content brief by generating tailored variations that respect each platform's character limits, media specs, and audience conventions while preserving the core message across all channels.

Input Required

The user must provide (or will be prompted for):

  • Post content: Core message text, along with any images, video, carousel assets, or links to include — can be a single unified draft or pre-written per-platform variants
  • Target platforms: Which platforms to post on — Twitter/X, Instagram (feed, Stories, Reels), LinkedIn (post or article), TikTok, YouTube (Shorts or Community), or Pinterest — must have corresponding MCP servers connected
  • Posting date and time: Specific date and time per platform with timezone, or "optimal" to use data-driven timing recommendations based on audience engagement patterns
  • Hashtags: Specific hashtags to use, a topic for auto-suggestion, or "auto" to generate hashtags based on content analysis, trending tags, and brand hashtag strategy
  • Platform-specific variations: Any per-platform tweaks — different copy length, different images or aspect ratios, different CTAs, tone adjustments, or platform-native features (Instagram polls, LinkedIn document carousels, Twitter/X threads)
  • Link and UTM parameters: URL to include with UTM tracking parameters (source, medium, campaign, content) for attribution, or auto-generate UTMs based on campaign naming conventions from brand profile
  • Media assets: Image files or URLs with aspect ratio preferences per platform, video files with duration compliance, or carousel image sets in posting order
  • Engagement instructions: Whether to set up reply monitoring, comment response guidelines, engagement boost triggers (promote if engagement exceeds threshold), or cross-posting rules
  • Content calendar context: Optional — campaign name or content pillar this post belongs to, for calendar tracking and thematic consistency across the publishing schedule
  • Accessibility requirements: Alt text for images, video captions or subtitle files, and any accessibility-specific formatting (plain language, high contrast text overlays)
  • First comment or thread: Optional — follow-up comment to post immediately after the main post (Instagram first comment for hashtags, Twitter/X thread continuation, LinkedIn engagement prompt)
  • Geo-targeting: Optional — restrict post visibility to specific regions or languages where supported by the platform (LinkedIn geo-targeting, Facebook location targeting)
  • Cross-promotion references: Optional — references to related content on other platforms to include in the post (e.g., "Watch the full video on YouTube" or "Read the full article on our blog")
  • Mentions and tags: Optional — accounts to @mention or tag in the post (partners, collaborators, influencers, featured customers) per platform tagging conventions

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/dm:brand-setup)?" — or proceed with defaults.
  2. Verify connected social MCPs: Check which social media platform MCP servers are connected and confirm they cover all the user's target platforms. List any missing connections with setup instructions. Verify API permissions include scheduling capability for each platform.
  3. Format content per platform specs: Adapt the content for each platform's requirements — consult platform-publishing-specs.md for character limits (Twitter/X: 280, LinkedIn: 3,000, Instagram: 2,200, TikTok: 2,200, Pinterest: 500), image dimensions (1:1, 4:5, 9:16, 16:9), video length caps, carousel slide limits, and link preview behavior. Create distinct variations where content cannot be shared identically across platforms.
  4. Optimize posting times: Run posting-time-analyzer.py with the brand's historical engagement data to determine the best posting window for each platform by day of week and hour. Factor in audience timezone distribution. If no historical data exists, use industry-standard optimal windows by platform, content type, and audience demographic.
  5. Analyze and optimize hashtags: Run hashtag-analyzer.py to evaluate proposed hashtags for reach potential, competition level, relevance score, and trending status. Recommend a balanced hashtag mix per platform — branded hashtags, niche community hashtags, and broad reach hashtags — with platform-specific counts (Instagram: 15-20, Twitter/X: 2-3, LinkedIn: 3-5, TikTok: 4-6, Pinterest: 2-5 as keyword tags).
  6. Score content for brand voice: Run brand-voice-scorer.py on each platform variation to verify alignment with brand tone, vocabulary, and messaging guidelines. Flag any variation that falls below the brand's minimum score and suggest specific edits.
  7. Create per-platform variations: If the user did not provide explicit per-platform copy, generate tailored variations — shorter and punchier for Twitter/X, professional and insight-driven for LinkedIn, visual-first captions with line breaks for Instagram, trend-aware and casual for TikTok, keyword-rich with vertical imagery for Pinterest. Preserve the core message and CTA across all while adapting voice for each platform's native style.
  8. Validate media assets: Verify all images and videos meet platform requirements — dimensions, aspect ratio, file size limits, video duration, and format (JPEG/PNG for images, MP4 for video). Flag any assets that need resizing or reformatting and suggest optimal crops per platform.
  9. Create approval record: Run approval-manager.py with risk level set to medium. Generate a scheduling summary showing each platform's post content, media preview, hashtags, posting time, UTM-tagged links, and brand voice score.
  10. Present scheduling summary: Display the complete multi-platform schedule for user review — one section per platform showing final copy with character count, media attachments with dimensions, hashtags, posting time with timezone, and any platform-specific notes or warnings. Wait for explicit approval.
  11. Schedule via each platform's MCP: On approval, submit each post to its target platform through the connected MCP server. Handle platform-specific scheduling APIs, media uploads, hashtag formatting, and link shortening. Confirm the scheduled status for each platform individually.
  12. Verify scheduled status: After scheduling, query each platform's API to confirm the posts are queued at the correct times with the correct content. Flag any scheduling failures, content truncation, or media upload errors and retry or escalate as needed.
  13. Schedule first comments or threads: If first-comment content was provided, queue the follow-up comment or thread continuation for immediate posting after the main post goes live on each applicable platform.
  14. Update content calendar: Log the scheduled posts against the brand's content calendar with campaign name, content pillar, platform, and posting time for cross-channel visibility and duplicate prevention.
  15. Log executions per platform: Run execution-tracker.py for each platform to log the scheduling event with timestamp, platform, scheduled posting time, content summary, hashtags, UTM parameters, and media asset references.

Output

A structured scheduling confirmation containing:

  • Scheduled post confirmations: Per-platform confirmation with post ID, scheduled date and time with timezone, and preview link or draft URL where available
  • Platform-specific content: Final copy for each platform showing character count versus limit, hashtags with position (inline or comment), media attachments with dimensions, and UTM-tagged link
  • Posting times with rationale: Scheduled time per platform with data-driven justification — historical engagement peak hours, audience timezone alignment, competitive posting window analysis, or user-specified timing
  • Hashtag recommendations: Final hashtag set per platform with supporting metrics — estimated reach per hashtag, competition level, trending status, and relevance score
  • Brand voice scores: Per-platform alignment scores with notes on tone adjustments made during variation creation and any remaining recommendations
  • Media spec compliance: Confirmation that all images and videos meet platform requirements for dimensions, file size, format, aspect ratio, and video duration with any crops or adjustments applied
  • UTM tracking summary: Complete UTM parameters per platform (source, medium, campaign, content) for attribution tracking in Google Analytics or the brand's analytics platform
  • Cross-platform coordination notes: Posting sequence rationale if posts are staggered, and any cross-promotion references between platforms (e.g., "Full video on YouTube" link in Twitter/X post)
  • Accessibility compliance: Alt text applied to all images, caption files attached to videos, and plain-language verification for accessible content across platforms
  • First comment or thread status: Confirmation of scheduled follow-up comments per platform with content preview and timing (immediate after main post)
  • Content calendar placement: Campaign name, content pillar, and calendar date for cross-referencing with the brand's publishing schedule
  • Mentions and tags applied: Confirmation of all @mentions and account tags included per platform with handle verification status
  • Execution log entries: Timestamped records per platform for audit trail, content calendar synchronization, and cross-channel scheduling coordination

Agents Used

  • social-media-manager — Content formatting per platform conventions, posting time optimization, hashtag strategy and analysis, brand voice scoring, platform-specific variation creation, media asset validation, accessibility compliance, first comment scheduling, and engagement monitoring configuration
  • execution-coordinator — Approval workflow, multi-platform scheduling execution via MCP servers, per-platform status verification, first comment and thread queuing, content calendar update, retry handling for failed schedules, and per-platform execution logging

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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。

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Codex

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external-service

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