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.
npx skills add https://github.com/davepoon/buildwithclaude --skill ops-doctor
Before diagnosing, load:
cat ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json — check all configured channels and servicescat ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json — primary diagnostic input| 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 |
| 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 |
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]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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:
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.
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."
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.
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.
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".
Generate clinical trial protocols for medical devices or drugs. This skill should be used when users say "Create a clinical trial protocol", "Generate protocol for [device/drug]", "Help me design a clinical study", "Research similar trials for [intervention]", or when developing FDA submission documentation for investigational products.
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.
Multi-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).
Generate and prioritize US equity long-side edge research tickets from EOD observations, then export pipeline-ready candidate specs for trade-strategy-pipeline Phase I. Use when users ask to turn hypotheses/anomalies into reproducible research tickets, convert validated ideas into `strategy.yaml` + `metadata.json`, or preflight-check interface compatibility (`edge-finder-candidate/v1`) before running pipeline backtests.
Use this skill when building or modifying Minecraft server plugins for Paper, Spigot, or Bukkit, including plugin.yml setup, commands, listeners, schedulers, player state, team or arena systems, persistent progression, economy or profile data, configuration files, Adventure text, and version-safe API usage. Trigger for requests like "build a Minecraft plugin", "add a Paper command", "fix a Bukkit listener", "create plugin.yml", "implement a minigame mechanic", "add a perk or quest system", or "debug server plugin behavior".
Internal guidance for composing Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks inside the Codex Claude Code plugin
Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.
This skill should be used when designing autonomous agent harnesses: research loops, evaluation scaffolds, locked and editable surfaces, durable logs, novelty gates, pruning, rollback, PR preparation, and human approval boundaries.
Take davepoon/ops-doctor from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.