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Ops Triage

Organization
Lifecycle-Innovations-Limited
ops-triage

OPS on-demand: This skill should be used when the user asks to "sentry issues", "triage github", or…

Overview

PublisherLifecycle-Innovations-Limited
Repositoryclaude-ops
Skill nameops-triage
Stars
543
Forks
64
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 Lifecycle-Innovations-Limited on GitHub. Read the source before you install it.

Installation

Install the Ops Triage 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/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-triage
  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/Lifecycle-Innovations-Limited/claude-ops.git /tmp/claude-ops
mkdir -p .claude/skills
cp -r /tmp/claude-ops/claude-ops/skills/ops-triage .claude/skills/ops-triage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ops Triage 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 Ops Triage 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 Ops Triage 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.

Runtime Context

Before triaging, load:

  1. Preferences: cat ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json — read project registry for repo paths
  2. Daemon health: cat ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json — ensure services healthy
  3. Secrets: Resolve via Doppler MCP (mcp__doppler__*) → env → Doppler CLI fallback → password manager: SENTRY_AUTH_TOKEN, LINEAR_API_KEY, GITHUB_TOKEN
  4. Ops memories: Check ${CLAUDE_PLUGIN_DATA_DIR}/memories/topics_active.md for issue context

OPS ► CROSS-PLATFORM TRIAGE

Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).

CLI/API Reference

gh CLI (GitHub)

CommandUsageOutput
gh issue list --state open --json number,title,body,labels,assignees,createdAt,url --limit 50Open issuesJSON array
gh issue list --repo <owner/repo> --state open --json number,title,labels,createdAt --limit 20Repo issuesJSON array
gh pr list --state merged --search "#<N>"PRs referencing issueJSON array
gh issue close <N> --comment "<msg>"Close issueConfirmation

sentry-cli / Sentry API

CommandUsageOutput
sentry-cli issues list --project <slug> --status unresolvedUnresolved issuesIssue list
curl -H "Authorization: Bearer $SENTRY_AUTH_TOKEN" "https://sentry.io/api/0/projects/<org>/<proj>/issues/?query=is:unresolved"API fallback when MCP unavailableJSON array

Linear GraphQL (fallback when MCP unavailable)

CommandUsageOutput
curl -X POST https://api.linear.app/graphql -H "Authorization: $LINEAR_API_KEY" -H "Content-Type: application/json" -d '{"query":"{ issues(filter: {state: {type: {in: [\"started\",\"unstarted\"]}}}) { nodes { id title state { name } priority assignee { name } } } }"}'Active issuesJSON

Agent Teams support

If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when dispatching fix agents for multiple issues. This enables:

  • Fix agents can share findings (e.g., agent fixing Sentry error discovers the same root cause as a Linear issue)
  • You can redirect agents if cross-referencing reveals duplicate issues
  • Agents report progress and you can prioritize which fix to merge first

Team setup (only when flag is enabled, Phase 4 dispatch):

TeamCreate("triage-fixers")
Agent(team_name="triage-fixers", name="fix-[issue-id]", subagent_type="ops:triage-agent", ...)

Use broadcast(content="Root cause found: missing index on users.email — check if your issue is related") to share discoveries.

If the flag is NOT set, fall back to standard parallel subagents.

Phase 1 — Gather issues in parallel

Run all of these simultaneously:

GitHub Issues

bash
gh issue list --state open --json number,title,body,labels,assignees,createdAt,url --limit 50 2>/dev/null

GitHub Issues (registry-driven)

bash
REGISTRY="${CLAUDE_PLUGIN_ROOT}/scripts/registry.json"
[ -f "$REGISTRY" ] || REGISTRY="${CLAUDE_PLUGIN_ROOT}/scripts/registry.example.json"
for repo in $(jq -r '.projects[] | select(.gsd == true) | .repos[]' "$REGISTRY" 2>/dev/null); do
  echo "=== $repo ==="
  gh issue list --repo "$repo" --state open --json number,title,labels,createdAt --limit 20 2>/dev/null
done

Sentry

If Sentry MCP is connected, fetch unresolved issues for all projects. Otherwise run: echo "Sentry MCP not available"

Linear

Use mcp__linear__list_teams to get team IDs, then mcp__linear__list_issues with filter: {state: {type: {in: ["unstarted", "started"]}}} for each team.


Phase 2 — Cross-reference against code

For each Sentry issue, check if it's already fixed:

  1. Extract the error message, file path, and line number from the Sentry event.
  2. grep for the relevant code in the affected repo.
  3. Check git log: git log --oneline --all -- [file] 2>/dev/null | head -20
  4. If the fix is merged and deployed (check ECS deploy timestamps), mark as resolved.

For each GitHub Issue:

  • Check if any merged PR references the issue number (gh pr list --state merged --search "#[N]")
  • If referenced and merged, mark as potentially resolved

Phase 3 — Confirm and resolve fixed issues

For issues confirmed fixed in code AND deployed, show the full list and use AskUserQuestion:

Found N issues confirmed fixed and deployed:

  [Sentry] [title] — fix in [commit], deployed [time ago]
  [Linear] [title] — fix in [commit], deployed [time ago]
  [GitHub] #[N] [title] — referenced in merged PR #[M]

  [Resolve all N]  [Review each one]  [Skip — don't auto-resolve]

If user picks "Review each one", show each issue individually with [Resolve] / [Skip] via AskUserQuestion.

For confirmed issues:

  • Sentry: use Sentry MCP to resolve the issue
  • Linear: use mcp__linear__update_issue with state: "Done"
  • GitHub: gh issue close [N] --comment "Auto-closed: fix confirmed deployed"

Log all resolutions.


Phase 4 — Present triage board

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► TRIAGE — [date]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

AUTO-RESOLVED (already fixed)
 ✓ [Sentry] [title] — fix in [commit]
 ✓ [Linear] [title] — closed
 ✓ [GitHub] #[N] [title] — closed

ACTIVE ISSUES (needs work)
 CRITICAL  [source] [title] [age] [assigned?]
 HIGH      [source] [title] [age] [assigned?]
 MEDIUM    [source] [title] [age] [assigned?]

──────────────────────────────────────────────────────

Use batched AskUserQuestion calls (max 4 options each):

AskUserQuestion call 1:

  [Dispatch agent for [top critical issue]]
  [Dispatch agent for [second issue]]
  [Assign issue to sprint (Linear)]
  [More...]

AskUserQuestion call 2 (only if "More..."):

  [Bulk-assign all HIGH to current sprint]
  [Done]

Superpowers Integration

During this command's execution, invoke the following superpower skill at the specified checkpoint:

  • Checkpoint: When diagnosing an active issue before proposing a fix (root-cause investigation during Phase 2 cross-reference or Phase 4 agent dispatch brief).
  • Skill: superpowers:systematic-debugging
  • Why: Enforces hypothesis-driven root-cause analysis so fix agents target the real defect, not the symptom.

Dispatch fix agent

When dispatching for an issue, spawn an Agent using agents/triage-agent.md with:

  • Full issue context (error, stack trace, affected code)
  • Instruction to create feature branch, fix, and open PR
  • Report back on completion or if blocked

Filter to $ARGUMENTS project/source if specified.


Native tool usage

Tasks — triage progress

Use TaskCreate for each issue being investigated. Update with TaskUpdate as issues are resolved/dispatched/skipped. Gives the user a live triage checklist.

WebFetch — Sentry/GitHub enrichment

When Sentry MCP hits quota limits, fall back to WebFetch with https://sentry.io/api/0/projects/<org>/<project>/issues/?query=is:unresolved (using SENTRY_AUTH_TOKEN header). Same for GitHub issue details when gh is slow.

WebSearch — error context

Use WebSearch to find known solutions for recurring errors (e.g., "AWS RDS connection reset", "ECS task stopped reason"). Include findings in the triage board as context.

LSP — code navigation for fix agents

When dispatching fix agents, use LSP to find symbol definitions, references, and call hierarchies. This helps agents navigate unfamiliar codebases faster than grep.


Ledger Integration

CLAIM_KEY by issue type:

  • Sentry: sentry:issue:<short_id>
  • GitHub issue: gh:pr:<owner>/<repo>#<number> (reused for issues when no PR exists)
  • Infra alert: ci:run:<repo>:<run_id>

Pre-flight skip-check

bash
CLAIM_KEY="sentry:issue:<short_id>"   # adjust per issue type
ledger query --claim-key "$CLAIM_KEY" --since=-PT24H

Skip issues with in_progress or done. Present awaiting_user issues at the top of the triage board as "needs your decision."

Claim + resolve

bash
# Claim when opening a triage pass on an issue
ledger write \
  --claim-key "$CLAIM_KEY" \
  --kind "fix" \
  --status "in_progress" \
  --title "Triage: <issue title>" \
  --ttl-sec 7200

# Resolve after fix dispatched or issue escalated
ledger write \
  --claim-key "$CLAIM_KEY" \
  --kind "fix" \
  --status "done" \
  --title "Triage: <issue title>" \
  --context "fix dispatched|escalated|snoozed: <reason>"

Frequently asked questions

What does the Ops Triage AI skill do?

OPS on-demand: This skill should be used when the user asks to "sentry issues", "triage github", or…

Why use Ops Triage on TypingMind?

Because you install it once and use it with any model. Ops Triage 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 Ops Triage in TypingMind?

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

Which AI models can use Ops Triage?

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 Ops Triage?

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

Is the Ops Triage AI skill free?

Yes. It is published on GitHub by Lifecycle-Innovations-Limited 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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