nicknisi/research
plugins/consultant/skills/research/SKILL.md
Launch multiple AI agents in parallel for comprehensive research coverage
$ install --global
skillsauthnpx skillsauth add nicknisi/claude-plugins researchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 7, 2026, 6:14 AM118.2s1 file scanned
SKILL.md
- name:
- research
- description:
- Launch multiple AI agents in parallel for comprehensive research coverage
- disable-model-invocation:
- true
Research Mode
Launch multiple agents simultaneously for comprehensive research coverage.
Usage
/consultant:research quick What are the best testing frameworks for React?
/consultant:research standard How do modern authentication systems work?
/consultant:research extensive Deep dive into microservices architecture patterns
/consultant:research What is the current state of WebAssembly? (defaults to standard)
Research Intensities
| Intensity | Agents | Best For | | ------------- | -------------- | ----------------------------- | | quick | 5 (1 of each) | Simple queries, fast answers | | standard | 15 (3 of each) | Comprehensive coverage | | extensive | 40 (8 of each) | Deep-dive, exhaustive reports |
Agent Types
perplexity-researcher: Citations, current dataclaude-researcher: Built-in WebSearch, detailed analysiscodex-researcher: GPT-5 with high reasoninggemini-researcher: Multi-perspective synthesisgrok-researcher: Alternative LLM perspective
Execution
Parse $ARGUMENTS to extract:
- Intensity: First word if
quick,standard, orextensive(default:standard) - Topic: The research topic
Launch agents using multiple Task tool calls in ONE message.
IMPORTANT: All agents MUST be launched in a single message with multiple parallel Task tool calls.
After agents complete, synthesize results:
- Identify consensus points (multiple agents agree)
- Highlight unique insights from specific agents
- Note contradictions or disagreements
- Rate confidence based on corroboration
Related Skills
nicknisi/get-goal-prompt
tools
VerifiedTrustedCommunity
Generate a /goal command to execute an ideation project's specs autonomously. Reads the contract, builds a goal prompt with phase ordering and spec paths, copies it to clipboard, and prints it. The user pastes the /goal command to start autonomous execution. Use when the user says 'goal', 'run as goal', 'get goal prompt', 'goal prompt', or wants to execute specs via /goal instead of /ideation:autopilot.
89SKILL.mdUpdated May 24, 2026
nicknisi/zoom-out
development
VerifiedTrustedCommunity
Go up a layer of abstraction and map the surrounding architecture. Use when the user is unfamiliar with an area of code, asks "how does this fit in", "what calls this", "give me the big picture", "where am I", "map this out", "I'm lost", "explain this area", or needs to understand how a file, module, or function connects to the rest of the system. Also use when the user says /zoom-out or "zoom out" mid-conversation — even without a specific file reference, orient them based on whatever code is currently in context.
89SKILL.mdUpdated May 24, 2026
nicknisi/prototype
development
VerifiedTrustedCommunity
Build a throwaway prototype to answer a design question before committing to real implementation. Generates either a runnable terminal app (for state machines, data models, business logic) or several radically different UI variations on one route (for visual/layout decisions). Use when the user wants to prototype, spike, POC, sanity-check a data model, mock up a UI, explore design options, or says "prototype this", "spike this out", "let me play with it", "try a few designs", "sketch this in code", "I want to try something before building it for real", "quick and dirty version", or "validate this approach" — even if they don't use the word "prototype."
89SKILL.mdUpdated May 24, 2026
nicknisi/codebase-sweep
development
VerifiedTrustedCommunity
Comprehensive, codebase-wide quality sweep that dispatches parallel subagents to find and fix structural issues. Covers deduplication, type consolidation, dead code removal, circular dependencies, weak types, defensive try/catch, deprecated paths, and AI slop. Primary support for JS/TS projects (knip, madge, TypeScript types); other languages get grep-based analysis. Use when the user asks to "deep clean the whole repo", "run a full codebase audit", "nuclear cleanup", "deslop everything", or "sweep the entire codebase for quality issues". Do NOT use for single-file fixes, branch-scoped diffs (use de-slopify instead), or targeted refactors.
89SKILL.mdUpdated May 24, 2026