deliverable-versioning
Run the following command in DeepSeek Harness:
dsh plugin install ChenneyZhuang/deliverable-versioning
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install ChenneyZhuang/deliverable-versioning in DeepSeek Harness to install this plugin. The full source repository is at https://github.com/ChenneyZhuang/deliverable-versioning .
About this plugin
Every team eventually ends up with a folder full of report_FINAL.xlsx, report_FINAL_v2.xlsx, and report_FINAL_really.xlsx, and nobody trusts any of them. deliverable-versioning cures this with a set of mechanical rules: a file that has left your hands is never edited in place, new content becomes a new file; names use date and content, never the word final; one authoritative delivery directory per project is the source of truth, drafts live elsewhere; every send is logged in a ledger tracking date, filename, row count, and recipient, turning the question of what was actually sent into a one-second query instead of a chat-history archaeology dig.
The discipline is structural, not motivational. Before rebuilding a deliverable you check whether it already exists in the delivery directory. Superseded files stay in place but are marked in the ledger, and document references are updated to point at the current version. The entire system is a single SKILL file with zero dependencies. Legacy messy folders need one backlog sweep before the rules start paying off.
It is built for teams that routinely hand off datasets, reports, or proposals to clients, stakeholders, or partner teams. If a file has ever been edited after it was sent, or if nobody can say which version a decision was based on, this plugin is the fix.
Use Cases
- Tracing exactly which data report was sent to a client after the fact
- Eliminating naming chaos like report_FINAL_v3 in team workflows
- Reconstructing the full delivery history during project handover
- Ensuring every decision maps to a specific file when multiple reports are in flight
Best For
- Business teams that frequently deliver reports and datasets externally
- Compliance or operations roles requiring auditable delivery records
- Teams of any size frustrated by final-file naming chaos
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