Use when about to ask the user a factual question, propose a solution, diagnose an error, or choose between approaches. Triggers on: 'Do you have X installed?', 'What version?', 'Is X configured?', 'We should...', 'The fix is...', 'Options: 1...', 'Based on my understanding...', 'I believe X supports...'. Before deciding anything, spin up parallel subagents to WebSearch for current docs, community solutions, framework best practices, and GitHub issues. Your memory is stale — verify everything.
npx skills add https://github.com/NTCoding/claude-skillz --skill independent-research
Research-driven investigation. Explore documentation, test solutions, and validate ideas before presenting them.
🚨 NEVER ASK FACTUAL QUESTIONS YOU CAN ANSWER YOURSELF. If a command, config file, or web search can answer it, use that. Only ask users about preferences and priorities.
🚨 VALIDATE BEFORE PRESENTING. Test commands, verify syntax, check documentation. Never present untested recommendations.
If you catch yourself about to ask any of these, STOP. Answer it yourself.
| Lazy Question | What To Do Instead |
|---|---|
| "Do you have X installed?" | Run which X or X --version |
| "What version of X?" | Run X --version |
| "Is X configured?" | Check the config file |
| "What OS are you using?" | Run uname -a |
| "Which tool do you use for X?" | Check which/where, look at project config |
| "Was this working before?" | Check git log, recent changes |
| "Do you want me to..." | Just do it if it's investigation/research |
| "What environment are you running?" | Check env vars, config files, runtime versions |
| "Have you tried X?" | Try it yourself first |
⏺ NX project graph failed — Node.js v24 compatibility issue.
⏺ Do you have nvm/fnm/volta installed? Was this working
on a different Node version?
The user doesn't need to answer this. You have bash.
which nvm; which fnm; which volta
node --version
cat .nvmrc 2>/dev/null
cat package.json | grep -A2 '"engines"'
git log --oneline -20
If you catch yourself about to recommend, diagnose, or decide without having researched, STOP.
| Premature Decision Signal | What To Do Instead |
|---|---|
| "We should downgrade/upgrade X" | Spin up parallel subagents: one to WebSearch the error + framework version, one to fetch the framework's migration/compatibility docs, one to search GitHub issues for the exact error |
| "The fix is to..." | Search for the exact error message first. Find the GitHub issue. Read the fix. Don't guess from memory |
| "This is a known issue with X" | Prove it. Fetch the GitHub issue URL, the changelog entry, the docs page. If you can't link to it, you're guessing |
| "Options: 1. X, 2. Y" | Before presenting options, WebSearch for what the framework/community actually recommends. Check migration guides, official docs, recent blog posts |
| "I believe X supports Y" / "Based on my understanding" | That's stale memory. WebFetch the actual docs page. Check the release notes. Verify the version compatibility matrix |
| Choosing between tools/versions/approaches | Launch parallel subagents: one per approach, each researching current docs, community consensus, and known issues |
| Error you haven't seen before | WebSearch the exact error message in quotes. Check GitHub issues. Check Stack Overflow. Check the framework's Discord/discussions |
| Recommending a config change | Fetch the framework's current configuration docs. Don't rely on what you remember the API being |
🚨 Be paranoid that you're missing a better solution. Your training data is stale. Libraries release weekly. Frameworks ship breaking changes. The answer you "know" may be outdated. Launch subagents to verify in parallel — it costs seconds and saves hours of wrong-direction work.
🚨 Concrete actions, not vague research:
Research yourself (facts):
Ask the user (preferences):
Before asking the user a question:
Do not ask until all checks pass.
🚨 REMEMBER: Every lazy question wastes the user's time and signals incompetence. If you can look it up, look it up.
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 ntcoding/independent-research 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.