Convert raw scanner findings into atomic work items in the backlog. Assigns priority, category, effort, and identifies file conflicts.
/plugin marketplace add opendatadiscovery/odd-team
The exact command may vary by repository. Check the README on GitHub.
For the skill author
Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.
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Use this skill for any task involving spreadsheet files as primary input or output, such as opening, reading, editing, fixing, creating, or converting .xlsx, .xlsm, .csv, or .tsv files.
Searches claude-mem's persistent cross-session memory database. Use this to answer questions about previous solutions or retrieve work from past sessions.
Generates a week-by-week narrative digest of a project's Claude-mem timeline, splitting it into ISO-week files and using subagents to produce weekly chapters. Ideal for "weekly digests" or "narrative chapters" of a project's history.
This skill explains how claude-mem captures observations, when memory injection occurs, and where its data is stored.
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Convert findings at $ARGUMENTS into backlog work items.
Orient — Read:
CLAUDE.mdbacklog/README.md (work item format and lifecycle)state/file-registry.yaml (existing file claims)backlog/ to avoid duplicates and get next ID numbersRead findings — Load the findings file at $ARGUMENTS
2.5. Look up the scanner-feed log (rev 13):
[Description truncada. Veja o README completo no GitHub.]
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