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Handle Issues

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aaddrick
handle-issues

Batch process GitHub issues via batch-orchestrator.sh with rate limit handling and session resumption

Overview

Publisheraaddrick
Repositoryclaude-pipeline
Skill namehandle-issues
Stars
130
Forks
17
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by aaddrick on GitHub. Read the source before you install it.

Installation

Install the Handle Issues AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/aaddrick/claude-pipeline/tree/main/.claude/skills/handle-issues
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aaddrick/claude-pipeline.git /tmp/claude-pipeline
mkdir -p .claude/skills
cp -r /tmp/claude-pipeline/.claude/skills/handle-issues .claude/skills/handle-issues
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Handle Issues in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Handle Issues on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Handle Issues is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Handle Issues

Batch process multiple GitHub issues by launching batch-orchestrator.sh which handles the execution loop, rate limits, and status tracking autonomously. This skill focuses on setup and monitoring.

Announce at start: "Using handle-issues to batch process issues. Query: $CONTEXT"

Arguments:

  • $1 — Context query describing which issues to process and how (required)

Examples:

  • /handle-issues "issues assigned to @me ordered by priority"
  • /handle-issues "all open bugs labeled 'critical'"
  • /handle-issues "issues in milestone v2.0 by creation date"
  • /handle-issues "Tailwind removal issues 306-308" (frontend work)

Agent Selection

The orchestrator uses specialized agents via --agent flag to ensure the right expertise for each stage:

StageAgentPurpose
implement-issuebulletproof-frontend-developerCSS, HTML, Blade templates, frontend styling
implement-issuelaravel-backend-developerPHP, Laravel, controllers, services, models
implement-issue(default)General implementation
process-prcode-reviewerAlways - reviews PR for quality and standards

Determine agent based on issue content:

  • Frontend issues (CSS, Tailwind, styling, UI, HTML, Blade): Use bulletproof-frontend-developer
  • Backend issues (PHP, Laravel, API, database, auth): Use laravel-backend-developer
  • Mixed or unclear: Use default (no agent specified)

Ask user during confirmation which agent to use if issue type is ambiguous.

Architecture

┌─────────────────────────────────────────────────────────────────┐
│ handle-issues (this skill)                                      │
│  • Gathers issues via gh CLI                                    │
│  • Determines appropriate agent for issue type                  │
│  • Confirms with user (ONLY interaction point)                  │
│  • Writes manifest.json (includes agent)                        │
│  • Launches batch-orchestrator.sh (background)                  │
│  • Reads status.json every 5 minutes                            │
│  • Outputs summary when complete                                │
└─────────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────────┐
│ batch-orchestrator.sh (shell script)                            │
│  • Loops through issues autonomously                            │
│  • Invokes claude with --agent and --dangerously-skip-permissions│
│  • Parses structured_output via jq                              │
│  • Updates status.json after each operation                     │
│  • Handles rate limits, timeouts, circuit breaker               │
└─────────────────────────────────────────────────────────────────┘

Claude CLI invocations:
  claude -p "/implement-issue #N branch" \
    --agent <frontend|backend> \
    --dangerously-skip-permissions \
    --output-format json \
    --json-schema implement-issue.json

  claude -p "/process-pr #PR #issue branch" \
    --agent code-reviewer \
    --dangerously-skip-permissions \
    --output-format json \
    --json-schema process-pr.json

Process

dot
digraph process {
    rankdir=TB;
    node [shape=box];

    check_resume [label="0. Check for incomplete batch"];
    resume_choice [label="Resume or start fresh?" shape=diamond];
    parse [label="1. Parse context query"];
    fetch [label="2. Fetch matching issues"];
    confirm [label="3. Confirm with user"];
    write_manifest [label="4. Write manifest.json"];
    launch [label="5. Launch orchestrator"];
    monitor [label="6. Monitor status.json\n(every 5 min)"];
    summary [label="7. Output summary"];

    check_resume -> resume_choice;
    resume_choice -> parse [label="fresh"];
    resume_choice -> launch [label="resume"];
    parse -> fetch -> confirm -> write_manifest -> launch -> monitor -> summary;
}

Step 0: Check for Incomplete Batch

Before fetching issues, check if a previous batch was interrupted:

bash
if [[ -f status.json ]]; then
    STATE=$(jq -r '.state' status.json)

    if [[ "$STATE" == "running" || "$STATE" == "circuit_breaker" ]]; then
        PROGRESS=$(jq -r '.progress | "\(.completed)/\(.total) complete, \(.failed) failed, \(.pending) pending"' status.json)
        LOG_DIR=$(jq -r '.log_dir' status.json)
        BRANCH=$(jq -r '.base_branch' status.json)

        echo "## Incomplete Batch Detected"
        echo ""
        echo "**State:** $STATE"
        echo "**Progress:** $PROGRESS"
        echo "**Branch:** $BRANCH"
        echo "**Log dir:** $LOG_DIR"
        echo ""

        # Show pending issues
        echo "**Pending issues:**"
        jq -r '.issues[] | select(.status == "pending" or .status == "in_progress") | "- #\(.number)"' status.json
        echo ""
    fi
fi

Use AskUserQuestion with options:

  1. Resume (continue with pending issues)
  2. Start fresh (abandon previous batch)

If resuming, skip to Step 5 (launch orchestrator). The orchestrator's idempotency check will skip completed issues.

Step 1: Parse Context Query

Extract from the user's context query:

  • Filter criteria: assignee, labels, milestone, author, state
  • Sort order: priority, created, updated, comments
  • Limit: max issues to process (default: no limit)

Step 2: Fetch Matching Issues

Build and execute gh command based on parsed criteria:

bash
# Example: issues assigned to user
gh issue list --repo OWNER/REPO \
  --assignee @me \
  --state open \
  --json number,title,labels,milestone,createdAt \
  --limit 100

# Example: critical bugs
gh issue list --repo OWNER/REPO \
  --label "bug,critical" \
  --state open \
  --json number,title,labels,milestone,createdAt

Sort by priority (if requested): Order by label priority:

  1. priority:critical or P0
  2. priority:high or P1
  3. priority:medium or P2
  4. priority:low or P3
  5. No priority label

Step 3: Display Issue List for Confirmation

Present the ordered list before processing:

Found N issues matching "$CONTEXT":

1. #123 - Fix login redirect loop [priority:high, bug]
2. #456 - Add password reset flow [priority:medium, feature]
3. #789 - Update user profile validation [priority:low, enhancement]

Base branch: aw-next

Proceed with batch processing? (yes/no)

This is the ONLY user interaction point. After confirmation, the entire batch runs autonomously.

Use AskUserQuestion to confirm:

  • Option 1: "Yes, proceed"
  • Option 2: "No, cancel"
  • Allow user to specify different base branch if needed

Step 4: Write Manifest

Create the manifest file for the orchestrator:

bash
MANIFEST="logs/handle-issues/manifest-$(date +%Y%m%d-%H%M%S).json"
mkdir -p logs/handle-issues

# Build issues array from fetched list
# $ISSUE_NUMBERS is a comma-separated list like "123,456,789"
# $AGENT is determined from issue type (frontend/backend/default)

jq -n \
  --argjson issues "[$ISSUE_NUMBERS]" \
  --arg branch "$BASE_BRANCH" \
  --arg query "$CONTEXT" \
  --arg agent "$AGENT" \
  '{
    issues: $issues,
    base_branch: $branch,
    agent: (if $agent == "" then null else $agent end),
    query: $query,
    created_at: (now | todate)
  }' > "$MANIFEST"

echo "Manifest written to: $MANIFEST"

Agent values:

  • bulletproof-frontend-developer — CSS, Tailwind removal, UI, Blade templates
  • laravel-backend-developer — PHP, Laravel, API, database
  • null or omitted — Default behavior

Step 5: Launch Orchestrator

Launch the batch orchestrator as a background process:

bash
# Launch orchestrator (agent is read from manifest, or can be overridden via --agent)
nohup .claude/scripts/batch-orchestrator.sh --manifest "$MANIFEST" \
  > "logs/handle-issues/orchestrator-$(date +%Y%m%d-%H%M%S).log" 2>&1 &

# Or with explicit agent override:
# nohup .claude/scripts/batch-orchestrator.sh --manifest "$MANIFEST" --agent bulletproof-frontend-developer \
#   > "logs/handle-issues/orchestrator-$(date +%Y%m%d-%H%M%S).log" 2>&1 &

ORCHESTRATOR_PID=$!
echo "$ORCHESTRATOR_PID" > logs/handle-issues/.orchestrator.pid

echo "Orchestrator launched (PID: $ORCHESTRATOR_PID)"
echo "Status file: status.json"
echo "Logs: logs/batch-*/"

The orchestrator will:

  • Use the specified agent for implement-issue stage
  • Always use code-reviewer agent for process-pr stage

Step 6: Monitor Progress

Check status.json every 5 minutes until complete. Also report lines changed vs base branch:

bash
echo ""
echo "Monitoring progress (checking every 5 minutes)..."
echo ""

BASE_BRANCH=$(jq -r '.base_branch' status.json)

while true; do
    # Check if orchestrator is still running
    if [[ -f logs/handle-issues/.orchestrator.pid ]]; then
        ORCHESTRATOR_PID=$(cat logs/handle-issues/.orchestrator.pid)
        if ! kill -0 "$ORCHESTRATOR_PID" 2>/dev/null; then
            echo "Orchestrator process finished."
            rm -f logs/handle-issues/.orchestrator.pid
            break
        fi
    else
        break
    fi

    # Read and display progress
    if [[ -f status.json ]]; then
        STATE=$(jq -r '.state' status.json)
        COMPLETED=$(jq -r '.progress.completed' status.json)
        FAILED=$(jq -r '.progress.failed' status.json)
        TOTAL=$(jq -r '.progress.total' status.json)
        CURRENT=$(jq -r '(.current_issues // []) | if length == 0 then "none" elif length == 1 then "#\(.[0])" else [.[] | "#\(.)"] | join(", ") end' status.json)
        RATE_LIMITED=$(jq -r '.rate_limit.waiting' status.json)

        # Calculate lines changed since start (vs base branch)
        LINES_CHANGED=$(git diff "$BASE_BRANCH"...HEAD --shortstat 2>/dev/null | grep -oE '[0-9]+ insertion|[0-9]+ deletion' | grep -oE '[0-9]+' | paste -sd+ | bc 2>/dev/null || echo "0")

        if [[ "$RATE_LIMITED" == "true" ]]; then
            RESUME_AT=$(jq -r '.rate_limit.resume_at' status.json)
            echo "[$(date +%H:%M)] $COMPLETED/$TOTAL complete, $FAILED failed | Current: $CURRENT | Lines changed: $LINES_CHANGED | Rate limited until $RESUME_AT"
        else
            echo "[$(date +%H:%M)] $COMPLETED/$TOTAL complete, $FAILED failed | Current: $CURRENT | Lines changed: $LINES_CHANGED"
        fi

        # Exit conditions
        if [[ "$STATE" == "completed" || "$STATE" == "completed_with_errors" || "$STATE" == "circuit_breaker" ]]; then
            break
        fi
    fi

    sleep 300  # 5 minutes
done

Step 7: Output Summary

Read final results from status.json and output summary:

bash
STATE=$(jq -r '.state' status.json)
COMPLETED=$(jq -r '.progress.completed' status.json)
FAILED=$(jq -r '.progress.failed' status.json)
TOTAL=$(jq -r '.progress.total' status.json)
LOG_DIR=$(jq -r '.log_dir' status.json)

echo ""
echo "## Handle Issues Complete"
echo ""
echo "**State:** $STATE"
echo "**Progress:** $COMPLETED/$TOTAL completed, $FAILED failed"
echo ""
echo "### Results"
echo ""
echo "| Issue | PR | Status | Follow-ups |"
echo "|-------|-----|--------|------------|"

jq -r '.issues[] | "| #\(.number) | \(if .pr then "#\(.pr)" else "—" end) | \(.status) | \(.follow_ups // [] | if length > 0 then map("#\(.)") | join(", ") else "—" end) |"' status.json

# Show failures if any
if [[ $FAILED -gt 0 ]]; then
    echo ""
    echo "### Failed Issues"
    echo ""
    jq -r '.issues[] | select(.status == "failed" or .status == "skipped") | "- **#\(.number)**: \(.error // "Unknown error")"' status.json
fi

# Show circuit breaker message if triggered
if [[ "$STATE" == "circuit_breaker" ]]; then
    echo ""
    echo "### Circuit Breaker Triggered"
    echo ""
    echo "3 consecutive failures detected. Batch stopped to prevent further issues."
    echo ""
    echo "**To resume:** Fix the underlying issues, then run:"
    echo "\`/handle-issues \"resume\"\`"
fi

echo ""
echo "**Logs:** $LOG_DIR"

Files

FilePurpose
.claude/scripts/batch-orchestrator.shMain orchestration script (loops through issues)
.claude/scripts/schemas/implement-issue.jsonJSON schema for implement-issue output
.claude/scripts/schemas/process-pr.jsonJSON schema for process-pr output
status.jsonReal-time status (read by this skill, written by orchestrator)
logs/handle-issues/manifest-*.jsonBatch manifest (issues list + branch)
logs/batch-*/Per-batch logs and summary
logs/.batch-orchestrator.lockLock file preventing parallel batches

Integration

Requires:

  • .claude/scripts/batch-orchestrator.sh (orchestration script)
  • .claude/scripts/schemas/*.json (JSON schemas)
  • implement-issue skill (invoked by orchestrator)
  • process-pr skill (invoked by orchestrator)
  • gh CLI authenticated
  • jq for JSON parsing
  • Claude Code CLI installed

Creates:

  • One PR per issue (via implement-issue)
  • Merged PRs with closed issues (via process-pr)
  • Follow-up issues from review comments (via process-pr)
  • status.json with real-time progress
  • Log directory with per-issue logs

Red Flags

TemptationWhy It Fails
Manage the loop yourselfContext bloat. Let orchestrator handle it.
Check status more often than 5 minUnnecessary overhead. Orchestrator updates status.json.
Skip the confirmation stepMay process wrong issues.
Run multiple batches in parallelLock file exists for a reason.
Ignore incomplete batch checkMay reprocess or lose progress.

Example Session (Backend)

User: /handle-issues "open issues assigned to me, priority order"

Claude: Using handle-issues to batch process issues. Query: open issues assigned to me, priority order

Found 3 issues:
1. #130 - Critical auth bug [priority:critical]
2. #128 - Add MFA support [priority:high]
3. #125 - Update docs [priority:low]

Base branch: aw-next
Agent: laravel-backend-developer (backend/auth issues detected)
Proceed with batch processing? (yes/no)

User: yes

Claude: Launching batch orchestrator...
Orchestrator launched (PID: 12345)
Implement agent: laravel-backend-developer
Process-PR agent: code-reviewer
...

Example Session (Frontend)

User: /handle-issues "Tailwind removal issues 306-308"

Claude: Using handle-issues to batch process issues. Query: Tailwind removal issues 306-308

Found 3 issues:
1. #306 - Tailwind Removal: Admin Pages
2. #307 - Tailwind Removal: Dashboard & Notifications
3. #308 - Tailwind Removal: Auth, Account, Landing Components

Base branch: aw-next
Agent: bulletproof-frontend-developer (CSS/frontend issues detected)
Proceed with batch processing? (yes/no)

User: yes

Claude: Launching batch orchestrator...
Orchestrator launched (PID: 12345)
Implement agent: bulletproof-frontend-developer
Process-PR agent: code-reviewer

Monitoring progress (checking every 5 minutes)...

[14:30] 0/3 complete, 0 failed | Current: #306 | Lines changed: 0
[14:35] 0/3 complete, 0 failed | Current: #306 | Lines changed: 245
[14:40] 1/3 complete, 0 failed | Current: #307 | Lines changed: 512
[15:40] 3/3 complete, 0 failed | Current: none | Lines changed: 1247
Orchestrator process finished.

## Handle Issues Complete

**State:** completed
**Progress:** 3/3 completed, 0 failed

### Results

| Issue | PR | Status | Follow-ups |
|-------|-----|--------|------------|
| #306 | #315 | completed | — |
| #307 | #316 | completed | — |
| #308 | #317 | completed | — |

**Logs:** logs/batch-20260131-143022/

Resume Example

User: /handle-issues "open bugs"

Claude: ## Incomplete Batch Detected

**State:** circuit_breaker
**Progress:** 1/3 complete, 2 failed, 0 pending
**Branch:** aw-next
**Log dir:** logs/batch-20260129-100000/

**Pending issues:**
- #456
- #789

Options:
1. Resume (continue with pending issues)
2. Start fresh (abandon previous batch)

User: 1

Claude: Resuming batch...
Orchestrator launched (PID: 12346)
...

Frequently asked questions

What does the Handle Issues AI skill do?

Batch process GitHub issues via batch-orchestrator.sh with rate limit handling and session resumption

Why use Handle Issues on TypingMind?

Because you install it once and use it with any model. Handle Issues is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Handle Issues in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aaddrick/claude-pipeline/tree/main/.claude/skills/handle-issues. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Handle Issues?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Handle Issues?

As many as you like. As long as a model supports skills, you can use Handle Issues with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Handle Issues AI skill free?

Yes. It is published on GitHub by aaddrick under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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