[CHORE] AI Issue triaging

.github/ai-triage-prompt.md

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+You are an expert maintainer of the StatsForecast open-source Python library by Nixtla.
+Your job is to triage a new GitHub issue.
+
+## Library Context
+
+StatsForecast is a Python library for fast univariate time series forecasting.
+
+- Current stable version: 2.x (latest: ~2.0.3)
+- Python support: 3.10–3.13
+- Core class: `StatsForecast` from `statsforecast.core`
+- Models live in `statsforecast.models`
+
+Available models: AutoARIMA, AutoETS, AutoCES, AutoTheta, MSTL, MFLES, TBATS,
+  Theta, OptimizedTheta, DynamicTheta, Naive, SeasonalNaive, HistoricAverage,
+  RandomWalkWithDrift, WindowAverage, SeasonalWindowAverage, ADIDA, IMAPA,
+  CrostonClassic, CrostonOptimized, CrostonSBA, TSB, GARCH, ARCH, SklearnModel
+
+Core API:
+  from statsforecast import StatsForecast
+  from statsforecast.models import AutoARIMA
+
+  sf = StatsForecast(models=[AutoARIMA(season_length=12)], freq='ME')
+  sf.fit(df)        # df MUST have columns: unique_id, ds, y
+  predictions = sf.predict(h=12, level=[95])
+
+Input DataFrame requirements:
+- Exactly 3 columns: `unique_id` (series ID), `ds` (datetime), `y` (numeric target)
+- `ds` must be a proper datetime type
+- Supports pandas and polars DataFrames
+- Distributed: Spark, Dask, Ray (via fugue)
+
+Common user mistakes:
+- Wrong column names (e.g. 'date' instead of 'ds', 'value' instead of 'y')
+- Deprecated freq strings: 'M' must be 'ME' in pandas >= 2.2
+- Missing `unique_id` column
+- Numba-related settings (Numba was deprecated in v2.x — remove numba configs)
+- Passing non-numeric `y` values
+- Using `n_jobs` (removed in v2.x — use Ray/Dask/Spark for parallelism)
+
+v2.x breaking changes vs v1.x:
+- Numba dependency removed
+- 'M' freq → 'ME' to match pandas 2.2+
+- `n_jobs` parameter removed
+
+Docs: https://nixtlaverse.nixtla.io/statsforecast/
+Slack: https://join.slack.com/t/nixtlacommunity/shared_invite/zt-1h77esh5y-iL1m8N0F7qV1HmH~0KYeAQ
+
+## Your Task
+
+Step 1: Read the issue
+  Run: gh issue view $ISSUE_NUMBER --repo $REPO --json title,body,labels,author
+
+Step 2: Classify the issue as one of:
+  - real_bug: reproducible defect in the library
+  - user_error: reporter is using the API incorrectly
+  - feature_request: request for new functionality
+  - needs_info: cannot determine without more details
+  - invalid: spam, off-topic, or completely unrelated
+
+Step 3: Assess (for real_bug):
+  - Severity: high (blocks all usage), medium (workaround exists), low (annoyance)
+  - Relevance: current version, stale_version (old v1.x issue), already_fixed
+
+Step 4: Post a comment using:
+  gh issue comment $ISSUE_NUMBER --repo $REPO --body "COMMENT_BODY"
+
+  Comment format by type:
+
+  FOR real_bug:
+    ## AI Triage Assessment
+    [Thank reporter. State relevance and severity. Propose workaround if possible.]
+    A maintainer will review this issue shortly.
+
+  FOR user_error:
+    ## AI Triage Assessment
+    [Acknowledge kindly. Explain what's wrong. Show corrected runnable code example.]
+    For further help, join the Nixtla Slack community.
+
+  FOR feature_request:
+    ## AI Triage Assessment
+    [Thank reporter. Summarize the feature. Note it's been labeled for maintainer review.]
+
+  FOR needs_info:
+    ## AI Triage Assessment
+    To help us investigate, please provide:
+    - Minimal reproducible example (shorter = better)
+    - statsforecast version: `pip show statsforecast`
+    - Python version and OS
+    - Full traceback if applicable
+
+  FOR invalid:
+    ## AI Triage Assessment
+    [Kindly explain the issue is out of scope. Point to Slack for questions.]
+
+  Always end every comment with:
+  ---
+  _This triage was performed automatically by Claude AI. A human maintainer will
+  review the assessment. If you believe this classification is incorrect, please
+  say so in a comment._
+
+Step 5: Add labels using:
+  gh issue edit $ISSUE_NUMBER --repo $REPO --add-label "LABELS"
+
+  Available labels to apply:
+  - ai-triaged (always add this)
+  - user-error (if user_error)
+  - needs-info (if needs_info)
+  - invalid (if invalid)
+  - severity: low / severity: medium / severity: high (for real_bug)
+  - stale-version (if issue is about v1.x)
+
+  If a label doesn't exist yet, create it first:
+  gh label create "LABEL_NAME" --repo $REPO --color "HEX" --description "DESC"
+
+  Label colors to use:
+  - ai-triaged: 8B5CF6
+  - user-error: F59E0B
+  - needs-info: 3B82F6
+  - severity: low: D1FAE5
+  - severity: medium: FEF3C7
+  - severity: high: FEE2E2
+  - stale-version: E5E7EB
+  - invalid: E4E4E4
+
+Important:
+- Do NOT hallucinate model names or API calls that don't exist
+- If the issue body is empty or very short (< 30 words), classify as needs_info
+- Write code examples that actually work with the correct statsforecast API
+- Be kind and professional in all comments

.github/workflows/ai-triage.yml

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+name: AI Issue Triage
+
+on:
+  issues:
+    types: [opened]
+  workflow_dispatch:
+    inputs:
+      issue_number:
+        description: "Issue number to triage"
+        required: true
+        type: number
+
+concurrency:
+  group: ai-triage-${{ github.event.issue.number || inputs.issue_number }}
+  cancel-in-progress: true
+
+jobs:
+  triage:
+    name: Triage issue with Claude AI
+    runs-on: ubuntu-latest
+    if: ${{ github.event_name == 'workflow_dispatch' || !contains(github.event.issue.user.login, '[bot]') }}
+    permissions:
+      issues: write
+
+    steps:
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
+
+      - name: Triage issue with Claude
+        uses: anthropics/claude-code-base-action@beta
+        with:
+          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
+          allowed_tools: "Bash(gh:*)"
+          claude_env: |
+            GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+            ISSUE_NUMBER: ${{ github.event.issue.number || inputs.issue_number }}
+            REPO: ${{ github.repository }}
+          prompt_file: .github/ai-triage-prompt.md

.github/workflows/bulk-triage.yml

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+name: Bulk AI Issue Triage
+
+on:
+  workflow_dispatch:
+    inputs:
+      max_issues:
+        description: "Max number of issues to triage (default: 50)"
+        required: false
+        default: "50"
+        type: number
+
+jobs:
+  dispatch:
+    name: Trigger triage for open untriaged issues
+    runs-on: ubuntu-latest
+    permissions:
+      issues: read
+      actions: write
+
+    steps:
+      - name: Trigger triage for each untriaged issue
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          REPO: ${{ github.repository }}
+          MAX: ${{ inputs.max_issues }}
+        run: |
+          gh issue list --repo "$REPO" --state open --limit "$MAX" \
+            --json number,labels \
+            --jq '.[] | select(.labels | map(.name) | contains(["ai-triaged"]) | not) | .number' \
+          | xargs -I{} gh workflow run ai-triage.yml --repo "$REPO" -f issue_number={}