swipefile-compiler
Skill0 starsChanged 6 months agoMITView on GitHub
Compile tracked creator signals, content patterns, and distribution tactics into one structured weekly swipefile for reuse. Use when the operator wants a consolidated reference of hooks, CTAs, formats, and tactics observed across recent signal tracking.
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The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 8 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
When asked to "compile the swipefile", "summarize creator signals", or "what patterns are we tracking?"
- Distinctive: line 14
Before content planning sessions to ground packaging decisions in observed data.
- Distinctive: line 25
Does not fetch new URLs or external content.
- Distinctive: line 26
Does not generate new content — only compiles and classifies observed signals.
- Distinctive: line 27
Does not publish or distribute the swipefile.
- Distinctive: line 28
Does not overlap with x-link-best-effort (no fetch logic here).
- Distinctive: line 66
If memory logs are sparse (<5 signal entries), report "insufficient signals for compilation" rather than padding.
- Distinctive: line 67
If a signal entry has no clear hook or CTA, classify as "insight" rather than forcing a category.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Swipefile Compiler
Reads recent signal tracking notes and memory logs, then produces one structured swipefile artifact summarizing patterns, hooks, CTA types, and reuse notes.
When to Use
- Weekly or on-demand signal synthesis.
- When asked to "compile the swipefile", "summarize creator signals", or "what patterns are we tracking?"
- Before content planning sessions to ground packaging decisions in observed data.
What This Skill Does
- Reads the most recent memory logs from
~/.openclaw/workspace/memory/(last 7 days). - Extracts: hooks, CTAs, format patterns, platform tactics, and recurring themes.
- Classifies each item by category (hook, CTA, format, tactic, insight).
- Outputs one structured markdown file with pattern counts and reuse notes.
What This Skill Does NOT Do
- Does not fetch new URLs or external content.
- Does not generate new content — only compiles and classifies observed signals.
- Does not publish or distribute the swipefile.
- Does not overlap with x-link-best-effort (no fetch logic here).
Output Format
# Weekly Swipefile — [date range]
## Summary
[X] signals compiled. [Y] unique patterns identified.
## Hooks (top 10)
1. [hook text] — source: [date], pattern: [curiosity | contrarian | data-shock | story]
...
## CTA Types
- [CTA pattern]: [frequency], [example]
...
## Format Patterns
- [format]: [platform], [notes]
...
## Reuse Notes
- [Which patterns to apply to current content pipeline items]
- [Which hooks to test next]Save to: ~/.openclaw/workspace/mission-control/operations/swipefile-[date].md
Acceptance Test
- Given the last 3 days of memory logs contain at least 10 tracked signal entries with hooks and CTAs.
- When the skill is invoked.
- Then the output file contains categorized hooks, CTA types, format patterns, and at least 3 reuse notes.
- Pass: file saved, all 4 categories present, no uncategorized items >20%.
Edge Cases
- If memory logs are sparse (<5 signal entries), report "insufficient signals for compilation" rather than padding.
- If a signal entry has no clear hook or CTA, classify as "insight" rather than forcing a category.
- Skip memory entries that are purely operational (system logs, build notes) — only extract content/distribution signals.
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