agentic/code/addons/prose-integration/skills/prose-install/SKILL.md
Install OpenProse for AIWG when not found. Tries `npx skills add`, falls back to git clone, then saves the resolved path to .aiwg/config.json.
npx skillsauth add jmagly/aiwg prose-installInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You install OpenProse for AIWG use when /prose-detect reports no installation is found.
/prose-detect when all detection signals failBefore installing, ask:
OpenProse is not installed. Install it to ~/.aiwg/prose/ so AIWG prose skills can use it?
Primary method: npx skills add openprose/prose
Fallback method: git clone https://github.com/openprose/prose ~/.aiwg/prose
[Y/n]
If the user declines, stop and report:
Installation cancelled. Set PROSE_ROOT to an existing OpenProse installation to proceed.
npx skills add openprose/prose --target ~/.aiwg/prose
If this succeeds and ~/.aiwg/prose/skills/open-prose/prose.md exists, proceed to Step 4.
If npx fails (not available or package not found):
git clone --depth=1 https://github.com/openprose/prose.git ~/.aiwg/prose
Check that required files are present:
ls ~/.aiwg/prose/skills/open-prose/prose.md
ls ~/.aiwg/prose/skills/open-prose/forme.md
If either is missing, report failure:
Installation failed: prose.md or forme.md not found at ~/.aiwg/prose/skills/open-prose/.
Try cloning manually: git clone https://github.com/openprose/prose.git ~/.aiwg/prose
Write the resolved path to .aiwg/config.json:
{
"prose": {
"path": "~/.aiwg/prose/skills/open-prose",
"installedVia": "npx|git-clone",
"installedAt": "2026-04-02T00:00:00Z"
}
}
## OpenProse Installed
**Location**: ~/.aiwg/prose/skills/open-prose
**Method**: npx skills add | git clone
**prose.md**: present
**forme.md**: present
**Config saved**: .aiwg/config.json → prose.path
All prose-integration skills are now ready to use.
If OpenProse is already installed and the user wants to update:
cd ~/.aiwg/prose && git pull origin main
Or use /prose-setup which handles both install and update.
This skill runs on Haiku — it's confirmation prompts and shell commands.
data-ai
Report which research-corpus radar sidecars are overdue for refresh. Computes staleness (days since last refresh vs the cadence window) for every radar, sorted most-overdue-first. Runs via `aiwg corpus radar-status`.
data-ai
Aggregate research-corpus radar sidecars into a corpus or per-cluster freshness report — totals, overdue count, per-cluster / per-GRADE / per-trajectory breakdowns, an overdue table, and per-radar rationale snippets. Runs via `aiwg corpus radar-report`.
testing
Scaffold radar/freshness sidecars for research-corpus REFs. Pulls title/authors from the citation sidecar and GRADE from the analysis doc, defaults the refresh cadence from GRADE and the cluster from a corpus-local map, and stamps documentation/radar/REF-XXX-radar.md. Runs via `aiwg corpus radar-init`.
data-ai
Compute an entity's publication trajectory — per-year paper counts, topic drift, hot-streak detection (≥3 consecutive A-grade years), and career phase. Runs via `aiwg corpus profile-temporal`.