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- Cdeistopened
- Opened Vault
- Archive Suggest
archive-suggest_skill
- HTML
4
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill cdeistopened/opened-vault --skill archive-suggest- SKILL.md4.4 KB
Overview
This skill generates daily social post suggestions by resurfacing evergreen archive content. It scans the Master Content Index, extracts shareable snippets, drafts LinkedIn and X posts, and posts the suggestions to Slack for team triage. The goal is to keep high-value, underused content circulating with minimal manual effort.
How this skill works
Each run scans the Master Content Index and related content folders for candidates using weighted selection criteria (evergreen, seasonal, news hooks, tags, and underutilized pieces). For 3–5 chosen items it extracts a best standalone insight, an optional quote or stat, and a brief rationale for sharing now. The skill matches each snippet to post templates, generates LinkedIn and X drafts, and posts a standardized message to #content-inbox on Slack for team review and reactions.
When to use it
- Daily content suggestion routine
- When you need quick, low-effort social posts
- To resurface evergreen or underused content
- Ahead of seasonal moments or topical news hooks
- To populate Slack for team triage and development
Best practices
- Target 3–5 candidates per run to keep suggestions focused
- Balance evergreen pieces with one seasonal or news-tied item
- Use the standardized Slack format to ensure consistent triage
- Include an explicit ‘Why share now’ rationale for each suggestion
- Log selections in performance tracking to learn what resonates
Example use cases
- Daily morning job that posts 3–5 archive-based drafts to Slack for the content team
- Weekly focus before a seasonal push (e.g., back-to-school) to surface relevant guides
- Repurposing high-quality podcast episodes into short social clips and posts
- Quickly filling a posting calendar during slow editorial weeks
- Triaging underused content and feeding the performance tracker for A/B testing
FAQ
It outputs 3–5 candidate pieces per run to keep the team focused and reduce review load.
What content sources are scanned?
It scans the Master Content Index, the Master Content Database folder, and available podcast transcripts to find resurfacing opportunities.
How are suggestions delivered?
Drafts are posted to #content-inbox on Slack in a standard format that includes the snippet, why-share-now rationale, suggested channels, and the original URL.