bradygaster/squad-irl/markdown-playlist-archive

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Build append-only markdown table archives with daily file partitioning and replay-friendly history surfacing

Install

npx vskill@latest install bradygaster/squad-irl/markdown-playlist-archive

SKILL.md

Context

Some samples need lightweight persistence without introducing databases. Markdown tables are human-readable, git-friendly, and easy to inspect, but they need careful append semantics to avoid duplicate headers or accidental overwrites.

Patterns

Append-Only Table Writer
  • Use one helper that:
  • creates parent directories (mkdirSync(..., { recursive: true }))
  • creates file + header + divider on first write
  • appends rows on subsequent writes
  • only re-inserts headers if a legacy file exists without the expected header
  • Escape pipe characters in cell content before writing markdown rows.
Daily Partitioning + Long-Term Archive
  • Daily activity file: folder/playlist-YYYY-MM-DD.md for batch-specific rows.
  • Global longitudinal file: mood-archive.md with timestamped minimal entries.
  • On startup, read archive and surface recent + frequent values to guide new runs.
External Link Resolution with Graceful Fallback
  • Resolve external links (e.g., YouTube) to canonical URLs when possible.
  • Extract validated IDs (v query, 11-char pattern) for aggregate actions.
  • When resolution fails, store a deterministic search URL so the row still remains actionable.

Examples

  • mood-playlist-builder/mood-logic.ts
  • appendMarkdownRow(...)
  • readMoodArchive(...)
  • extractYouTubeVideoId(...)
  • buildYouTubePlaylistUrl(...)
  • mood-playlist-builder/index.ts
  • startup archive surfacing
  • daily playlist + archive append
  • browser launch from aggregated video IDs

Anti-Patterns

  • Rewriting the entire markdown file every run (destroys history).
  • Duplicating headers for every appended row.
  • Building aggregate playback URLs from unvalidated IDs.
  • Persisting only normalized values and losing the user’s original raw input.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

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Source

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Works with

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