LQF_Machine_Learning_E…
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine…
Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.
Claude Code
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill sentry --agent claude-code
Codex
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill sentry -a codex -y
Cursor
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill sentry -a cursor -y
Gemini CLI
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill sentry -a gemini-cli -y
GitHub Copilot
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill sentry -a github-copilot -y
OpenCode
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill sentry -a opencode -y
Windsurf
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill sentry -a windsurf -y
name: "sentry" description: "Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`."
If the token is missing, give the user these steps: 1. Create a Sentry auth token: https://sentry.io/settings/account/api/auth-tokens/ 2. Create a token with read-only scopes such as `project:read`, `event:read`, and `org:read`. 3. Set `SENTRY_AUTH_TOKEN` as an environment variable in their system. 4. Offer to guide them through setting the environment variable for their OS/shell if needed.
Use `scripts/sentry_api.py` for deterministic API calls. It handles pagination and retries once on transient errors.
export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export SENTRY_API="$CODEX_HOME/skills/sentry/scripts/sentry_api.py"User-scoped skills install under `$CODEX_HOME/skills` (default: `~/.codex/skills`).
python3 "$SENTRY_API" \
list-issues \
--org {your-org} \
--project {your-project} \
--environment prod \
--time-range 24h \
--limit 20 \
--query "is:unresolved"python3 "$SENTRY_API" \
list-issues \
--org {your-org} \
--project {your-project} \
--query "ABC-123" \
--limit 1Use the returned `id` for issue detail or events.
python3 "$SENTRY_API" \ issue-detail \ 1234567890
python3 "$SENTRY_API" \ issue-events \ 1234567890 \ --limit 20
python3 "$SENTRY_API" \
event-detail \
--org {your-org} \
--project {your-project} \
abcdef1234567890Always use these endpoints (GET only):
Example prompt: “List the top 10 open issues for prod in the last 24h.” Expected: ordered list with titles, short IDs, counts, last seen.
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