ops-doctor
Health check and auto-repair for the ops plugin. Diagnoses manifest errors, broken permissions, invalid configs, stale caches, and missing files — then spawns an agent to fix everything automatically.
What this skill does
## Runtime Context
Before diagnosing, load:
1. **Preferences**: `cat ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json` — check all configured channels and services
2. **Daemon health**: `cat ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json` — primary diagnostic input
3. **Secrets**: Verify secret resolution chain works: Doppler MCP → env → Doppler CLI → password manager
# OPS ► DOCTOR
## CLI/API Reference
### ops-doctor bin script
| Command | Usage | Output |
|---------|-------|--------|
| `${CLAUDE_PLUGIN_ROOT}/bin/ops-doctor` | Run full health diagnostics | JSON with `errors`, `warnings`, `tools`, `env_vars`, `registry` |
| `${CLAUDE_PLUGIN_ROOT}/bin/ops-doctor 2>/dev/null \|\| echo '{"errors":["diagnostic_script_failed"]}'` | Run with fallback | JSON or error sentinel |
### Key files read by diagnostics
| File | Purpose |
|------|---------|
| `${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json` | Primary daemon health input |
| `${CLAUDE_PLUGIN_DATA_DIR}/preferences.json` | Configured channels and services |
| `${CLAUDE_PLUGIN_ROOT}/.claude-plugin/plugin.json` | Plugin manifest validation |
| `${CLAUDE_PLUGIN_ROOT}/scripts/registry.json` | Project registry validation |
---
## Phase 1 — Run diagnostics
Run the diagnostic script to get a full health report:
```!
${CLAUDE_PLUGIN_ROOT}/bin/ops-doctor 2>/dev/null || echo '{"errors":["diagnostic_script_failed"],"warnings":[]}'
```
Parse the JSON output. Display a summary:
```
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS ► DOCTOR — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Plugin: [version] at [plugin_root]
Skills: [count] defined
Agents: [count] defined
Bin scripts:[count] available
ERRORS [count]
[list each error with description]
WARNINGS [count]
[list each warning with description]
TOOLS
[table of CLI tool availability]
ENV VARS
[table of env var status]
Registry: [status] ([project_count] projects)
Preferences:[status]
Cache: [versions list]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
```
## Agent Teams support
If `CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1` is set, use **Agent Teams** when multiple independent fix categories are identified (e.g., manifest issues + permission issues + registry issues). This enables:
- Fix agents work in parallel on different issue categories without stepping on each other
- You can prioritize: "fix manifest errors first, then permissions"
- Agents share context so a manifest fix can inform the registry repair
**Team setup** (only when flag is enabled, multiple issue categories):
```
TeamCreate("doctor-fixers")
Agent(team_name="doctor-fixers", name="fix-manifest", subagent_type="ops:doctor-agent", ...)
Agent(team_name="doctor-fixers", name="fix-permissions", subagent_type="ops:doctor-agent", ...)
Agent(team_name="doctor-fixers", name="fix-registry", subagent_type="ops:doctor-agent", ...)
```
If the flag is NOT set or only one issue category exists, use a single `doctor-agent` subagent.
## Phase 2 — Decision
If `$ARGUMENTS` contains `--check-only`: stop here, display results only.
If there are **errors or warnings**:
Display: "Found [N] issues. Spawning doctor agent to auto-fix..."
Then spawn the doctor agent (or Agent Team — see above):
```
Agent({
subagent_type: "ops:doctor-agent",
prompt: "Fix the following ops plugin issues.\n\nDIAGNOSTIC_JSON: [paste full JSON]\nPLUGIN_ROOT: ${CLAUDE_PLUGIN_ROOT}\nCACHE_DIR: ~/.claude/plugins/cache/ops-marketplace/ops\n\nFix all errors and warnings. Re-run diagnostics after to verify.",
description: "Fix ops plugin issues"
})
```
If there are **no errors and no warnings**:
Display: "All checks passed. Plugin is healthy."
## Phase 3 — Post-fix verification
After the agent completes, re-run diagnostics:
```!
${CLAUDE_PLUGIN_ROOT}/bin/ops-doctor 2>/dev/null
```
Display updated results. If errors remain, report them to the user with manual fix instructions.
---
## Native tool usage
### WebSearch — known issue lookup
When diagnostics find errors, use `WebSearch` to check if the issue is a known Claude Code plugin bug, MCP server issue, or configuration problem. Include links to relevant GitHub issues or docs.
### WebFetch — MCP health check
For MCP servers that appear disconnected, use `WebFetch` to test their underlying APIs directly (e.g., `https://api.linear.app/graphql` with a simple query) to distinguish between "MCP broken" and "API down".
Related in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.