archive-suggest

📁 cdeistopened/opened-vault 📅 Jan 27, 2026
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安装命令
npx skills add https://github.com/cdeistopened/opened-vault --skill archive-suggest

Agent 安装分布

mcpjam 1
claude-code 1
windsurf 1
zencoder 1
crush 1
cline 1

Skill 文档

Archive Suggest

Generate daily social post suggestions from archive content. Surfaces evergreen gems for repurposing.

When to Use

  • Daily content suggestion routine
  • When looking for easy content wins
  • To keep evergreen content circulating

Sources to Scan

  1. Master Content Index.claude/references/Master_Content_Index.md

    • 48 Blog posts
    • 286 Daily newsletters
    • 66 Podcast episodes
  2. Content DatabaseContent/Master Content Database/

    • Full content files
  3. Podcast TranscriptsStudio/Open Ed Podcasts/*/transcript.md


The Process

Step 1: Candidate Selection

Scan Master Content Index for pieces worth resurfacing.

Selection Criteria:

Criteria Weight Notes
Evergreen topic High Not time-sensitive news
Seasonal relevance High Back-to-school (Aug), tax season (Jan-Apr), summer (May-Jun)
News hook High Current event relates to old content
High-performing tags Medium Topics with proven engagement
Underutilized Medium Good content not recently shared

Seasonal Triggers:

Month Themes
Jan-Feb New year resolutions, tax planning, semester start
Mar-Apr Spring planning, testing season, summer prep
May-Jun End of year, summer activities, deschooling
Jul-Aug Back to school, curriculum planning, getting started
Sep-Oct Settling in, adjustments, fall activities
Nov-Dec Holidays, gift guides, year reflection

Output: 3-5 candidate pieces

Step 2: Extract Key Snippets

For each candidate, read the full content and extract:

  1. Best standalone insight (1-2 sentences)
  2. Key quote or stat (if applicable)
  3. Why share now (evergreen/seasonal/news hook)

Snippet format:

## Candidate: [Title]
**Published:** [Date]
**URL:** [URL]
**Type:** Blog / Daily / Podcast

**Best snippet:** "[1-2 sentence insight]"

**Why now:** [Evergreen / Seasonal: [reason] / News hook: [event]]

**Tags:** [relevant tags]

Step 3: Quick Framework Fit

Load TEMPLATE_INDEX.md and generate draft posts.

For each snippet:

  1. Match to 1-2 best templates
  2. Generate LinkedIn draft
  3. Generate X draft
  4. Include link to original article
  5. Add framing (“Still relevant:” or “From our archive:” etc.)

Framing options:

  • “Still relevant today:”
  • “From the archive:”
  • “This holds up:”
  • “Timely reminder:”
  • [No framing – just post the content]

Step 4: Post to Slack

Post suggestions to #content-suggestions channel.

Slack Message Format:

📚 ARCHIVE SUGGESTION - [Date]

*From:* [Article Title] (published [date])
🔗 [URL]

*Why now:* [Evergreen/seasonal/news hook reason]

*LinkedIn draft:*
> [Draft post text]

*X draft:*
> [Draft post text]

✅ Use | ✏️ Edit | ❌ Skip

Daily Run Checklist

  • Scan Master Content Index
  • Identify 3-5 candidates (mix of evergreen + seasonal)
  • Extract snippets from each
  • Generate draft posts (LinkedIn + X minimum)
  • Post to Slack #content-suggestions
  • Log selections in Performance tracking

Archive Scoring Heuristics

High Priority (Always Consider)

  • Back-to-school content – Jul/Aug
  • Getting started guides – Any new family influx period
  • Method explainers – (Montessori, Classical, Unschooling) – Evergreen
  • Career prep – High engagement topic
  • Socialization – Evergreen FAQ

Medium Priority

  • Curriculum guides – Before semester starts
  • Subject-specific – When seasonal (science fair season, etc.)
  • Tool recommendations – When tool is in news

Lower Priority (Rotate In)

  • Day in the life profiles – Mix variety
  • Podcast clips – If not recently shared
  • Announcements – Usually not evergreen

Integration Points

  • Slack MCP – Post suggestions
  • Master Content Index – Source database
  • GetLate – If auto-scheduling approved posts
  • Performance tracking – Log what gets used

Related Skills

  • newsletter-to-social – For current content
  • text-content – Template library
  • quality-loop – Quality gates for drafts