Text-based GitHub work triage dashboard ( https://alessandro.molina.fyi/workdash/ )
workdash pulls together the issues and pull requests that matter to you across
your GitHub repositories, suggests what to pick up next, and makes it easy to
jump into a work item — either for a quick review, a deeper AI-assisted
analysis, or a full coding session in a dedicated worktree.
Linux and macOS. workdash relies on xdg-open or open and expects zellij
for the interactive dashboard and terminal-backed work actions. It has not
been tested on Windows.
- Python
>=3.12. - Authenticated
ghfor GitHub access.workdash --configureinstalls a local copy whenghis not available. xdg-openoropenfor opening links and rendered analyses in your browser.zellijfor the interactive dashboard, terminal panes, and agent sessions.workdash --configureinstalls a local copy whenzellijis not available.- Global
ghandzellijbinaries are preferred; configured local copies are used as fallbacks. - Optional, depending on which actions you use from the TUI:
claude— to analyze or launch a Claude coding session.codex— to analyze or launch a ChatGPT Codex session.code— to launch a VSCode + Copilot coding session.
With uv — one isolated install, workdash on
your PATH:
uv tool install workdashFor development install:
pip install -e '.[test]'On the first run you need a configuration file at
~/.config/workdash/config.json. Generate it interactively with:
workdash --configureThe wizard fills in:
- Your GitHub username.
- Zellij availability. If
zellijis not onPATH, the wizard downloads the latest release binary into the workdash configuration directory. - GitHub CLI availability. If
ghis not onPATH, the wizard downloads the latest release binary into the workdash configuration directory. Authentication is still handled bygh; rungh auth loginif startup reports thatghis not authenticated. - The list of repositories to track (see Repository selectors below).
- A working directory where per-item git worktrees will live.
- The analyze and launch commands for Claude and Codex (auto-detected when the
tools are on your
PATH).
You can edit ~/.config/workdash/config.json by hand at any time. Re-running
--configure only prompts for fields that are still empty, except for Zellij:
the wizard always checks for a global zellij first and downloads a fresh
local binary when no global binary exists. It does the same for gh, checking
for a global GitHub CLI first and downloading a fresh local copy when none is
available.
Launch the TUI:
workdashUseful flags:
workdash --print # list items as plain text, no TUI
workdash --refresh # force a refresh from GitHub
workdash --debug # verbose logging
workdash --configure # run the interactive setup wizard
workdash --direct # start without the automatic Zellij wrapper
workdash --version # print version and exitworkdash gathers the following for your configured GitHub username:
- Open pull requests you authored.
- Open pull requests where you are a requested reviewer, plus open pull
requests you have already reviewed (shown as
REVIEW). - Open issues assigned to you.
- Open issues and pull requests across the tracked repositories.
Items are merged, deduplicated, and sorted by last update. One item is marked
with * as the suggested next thing to pick up.
The repositories list in config.json accepts:
owner/repo— a specific repository.owner/*— every repository accessible to you under that owner.
o— open the selected item in your browser.r— refresh the list from GitHub.a— analyze the selected item. Opens a dialog to open the cached analysis (if any), or run a fresh analysis with Claude or Codex. Fresh analyses are cached and rendered as HTML in your browser.c— launch a coding session on the selected item. Opens a dialog to pick Claude, Codex, or VSCode Copilot.workdashprepares a dedicated git worktree for the item and starts the chosen tool in it, preloaded with context about the issue or PR.t— open a terminal in the selected item's worktree (no agent launched).q— quit.
Coding and analysis actions operate on a per-item git worktree rooted under the
configured workdir. Each tracked repository gets a local clone, and each work
item gets its own worktree alongside it, so you can hop between items without
disturbing other in-progress work.
--print emits one row per item, sorted by last update (most recent first):
TYPE repo#number YYYY-MM-DD title
TYPE is ISSUE, PR, or REVIEW (for review-requested PRs). The suggested
item's title is prefixed with * . If nothing matches, the output is
No work items found..
Analyses produced with a are cached under ~/.config/workdash/cache/ so that
re-opening an item is instant. The cache is keyed by the item's GitHub
updated_at timestamp, so any change on GitHub automatically invalidates the
cached analysis and the next a will re-run it.
Canonical product behavior is described in features/.
The .feature files are the source of truth for what the software does. They are product specifications first and executable BDD scenarios second.
Implementation progress can be tracked separately, for example in PROJECT_PLAN.md, by referencing stable feature and scenario IDs.
Every new feature must start with a BDD definition under features/, and every change to existing behavior must update the relevant .feature file before any implementation or test code is modified. The .feature files are the contract; code follows them, not the other way around.
This applies to agents and humans alike. A change that lands code without a matching features/ update is incomplete.
From the repository root:
PYTHONPATH=src pytesttests/bdd/ drives development from the .feature files in features/.
pytest_bdd.scenarios(...) auto-generates one pytest test per Scenario,
so adding a scenario to features/ is enough to pull it into the suite.
Step definitions live under tests/bdd/steps/; scenarios whose steps are
not yet implemented fail with StepDefinitionNotFoundError, which is the
intended TDD signal for BDD-first development.
workdash is distributed under the terms of the GNU General Public License
version 3. See LICENSE for the full text.
