This skill should be used when generating spec artifacts (research.md, requirements.md, design.md, tasks.md), formatting agent output, structuring phase results, or when any Ralph agent needs guidance on concise, scannable output formatting. Applies to all Ralph spec phase agents.
npx skills add https://github.com/tzachbon/smart-ralph --skill communication-style
Be extremely concise. Sacrifice grammar for concision.
| Instead of | Write |
|------------|-------|
| "The user will be able to..." | "User can..." |
| "This component is responsible for..." | "Handles..." |
| "In order to achieve this, we need to..." | "Requires:" |
| "It should be noted that..." | (delete) |
Use:
Every output follows this order:
1. Brief overview (2-3 sentences MAX)
2. Main content (tables, bullets, diagrams)
3. Unresolved questions (if any)
4. Numbered action steps (ALWAYS LAST)
Action steps appear last because terminal output is read bottom-up -- the most important content occupies the most visible position.
## Next Steps
1. Create auth module at src/auth/
2. Add JWT dependency
3. Implement login endpoint
4. Add tests
Before action steps, list unresolved questions:
## Unresolved Questions
- OAuth provider preference? (Google, GitHub, both)
- Session duration requirement?
- Rate limiting needed?
Catches ambiguities before they become bugs.
| Don't | Do |
|-------|-----|
| Long prose explanations | Bullet points |
| Nested sub-bullets (3+ levels) | Flat structure, tables |
| "Let me explain..." | (just explain) |
| Repeating context | Reference by ID |
| Hedging language | Direct statements |
references/examples.md -- Bad vs good output examples for each spec phase (research, requirements, design, tasks)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 tzachbon/smart-ralph-communication-style 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.