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dsh-project-portfolio

Memory Updated 2026.08.31

Run the following command in DeepSeek Harness:

dsh plugin install mc856/dsh-project-portfolio

Paste the following prompt into your AI chat to install this plugin:

Install it inside DeepSeek Harness by running dsh plugin install mc856/dsh-project-portfolio; the full source is at https://github.com/mc856/dsh-project-portfolio

About this plugin

Coding agents handle a single conversation well but tend to lose the thread across months and projects: what is the next step, when does the follow-up window close, where does everything stand. dsh-project-portfolio hands that ledger back to you. Each project gets one plain Markdown file plus a global watchlist that you can grep, edit, version-control, and carry with you. The agent never writes on its own; it acts only on your instruction through two registered tools that append dated history lines and refresh last_checked with slug-validated file addressing.

Once installed you get the project-portfolio skill in the catalog (bundled with four project templates and a watchlist template) along with portfolio_status and portfolio_log. The former returns the full watchlist and a headline snapshot of every project file in a single call; the latter appends one dated entry to a project file History section. The entire chain reads and writes only the local filesystem. Zero runtime dependencies, no network calls, no telemetry.

Built for developers who track job hunts, side projects, and PR follow-ups over months and need to see status and history at a glance. If your need is remembering what was said in the current session, the official dsh-memoir is the better fit; if it is not losing the thread of long-running personal and professional work across sprints, this plugin is in your neighborhood.

Use Cases

  • Track job-hut interview loops, offer terms, and follow-up cadence across months
  • Keep next steps, deadlines, and change history for multiple side projects in parallel
  • Follow the review progress of GitHub PRs and issues without losing pending actions

Best For

  • Developers juggling multiple long-running personal projects month over month
  • Independent engineers who prefer plain Markdown, local-only storage, and zero telemetry
  • DSH users who want on-demand agent logging rather than automatic capture