Optimize Your Prompt
Transform a rough idea into an engineered, provider-shaped prompt.
Nothing compiled yet
Write a draft on the left and hit Transform. The engineered prompt, its rationale and the answer run will appear here.
Engineer the Goal
A goal is not a wish. Turn a rough intention into an observable outcome, the evidence that would prove it, the work it deliberately excludes, and a rubric that can fail the result — before anything is optimized or harnessed.
No goal engineered yet
Write the intention on the left. The outcome, evidence, exclusions, assumptions, constraints and rubric will appear here as one charter.
Model Tuner
Pick the model the prompt will run on. Learn what its maker recommends, then turn a one-line idea into a prompt written the way that model reads best.
Any Venice model can write the prompt. The target model above decides its style.
Build Your Agent
Generate precise system instructions, description and starters for a custom agent.
No agent configured
Describe the agent on the left. Its name, description, system instructions and conversation starters land here.
Harness Builder
A harness is not a prompt — it is the environment that turns an agent into a repeatable operator. Describe the work you want harnessed and get the whole structure: rules, playbooks, subagents, skills, MCP wiring, hooks, permissions, execution layer, state schema, evals, context budget and the loop that makes it better every run.
No harness built
Describe the workflow. Each layer streams in as it is written — rules first, then the specialists, controls and the improvement loop.
Agent Skills
Build a portable SKILL.md package. The Agent Skills standard is no longer Claude-only — Claude Code, Codex CLI, Cursor and Gemini CLI all load the same folder.
No package built
Name the skill and describe it. The analysis, SKILL.md, scripts and folder tree render here, ready to download.
Agent Rules
Write the file every coding agent reads before it touches your repo. AGENTS.md is the open standard — Codex CLI, Cursor, Copilot, Gemini CLI, Aider, Windsurf and Zed all read it natively. Pick any harness that needs its own format and get that too, derived from the same source.
The highest-value thing in the file. Exact commands, so an agent never guesses at your scripts.
Codex CLI, Cursor, Copilot, Gemini CLI, Aider, Windsurf and Zed all read AGENTS.md — only add a harness here when you want its native format as well.
No rules written
Describe the project and its exact commands. The AGENTS.md, any harness-native variants, and an install guide land here.
Plugin Builder
Design a complete Claude Code plugin — commands, agents, skills, hooks and MCP config — packaged into build instructions any AI can scaffold from.
No plugin designed
Name the plugin and describe it. Its component graph — commands, agents, skills, hooks, MCP servers — renders here.
Loop Design
Turn a plain-English request into a Loop Engineering spec — trigger, actions, proof, memory and stop conditions — pressure-tested by a second-pass Loop Critic.
No loop compiled
Describe the repeating job. The compiled spec, the critic's findings and four export formats appear here.
Content Loop
Compile a repeatable content engine: pillars, a dated calendar, channel-native drafts, Venice-generated visuals and the feedback loop that makes cycle two better than cycle one.
No content engine yet
Set the subject, channels and cadence. The strategy, calendar, drafts, visuals and automation spec build up here stage by stage.
Gauntlet Loop
Forge a tool-creation gauntlet: parallel sub-agents that each own one dimension, an adversarial critic that scores against a named gold standard, and a loop that will not exit until the blind comparison comes back in your favour.
No gauntlet forged
Name the objective and the standard it must beat. The agent roster, critic rubric, blind comparison protocol and runnable mega-prompt assemble here.
Be Ambitious Prompting
Felix Rieseberg (Anthropic) says we're not ambitious enough with models. His fix has three levers: Altitude — aim at the goal beyond the goal; Depth — work with the instruments of the field's best, checked by an outside judge; Range — replace the nouns with verbs, then assemble a crew of unexpected fields. Better, not bigger. Based on the article · summarized by RoboNuggets · skill from robonuggets/be-ambitious.
⛰️ Altitude
Stop fixing single crashes; keep the apps crash-free. Ask: what do you want to happen next? Build a 3-rung ladder: understand → decide → replace the ritual.
🔬 Depth
Use the raw data and real instruments the top experts use, set an "unreasonable" goal and treat it as reasonable, adversarially test what everyone believes — and always install an outside judge.
🎭 Range
A QBR isn't "a deck", it's "getting busy people to believe a story in 30 minutes". Verbs reveal the crew: analyst, journalist, short seller. Do what they do — don't talk like them.
Agent skill library — downloadable
Every generator in this app has a matching, tested SKILL.md you can drop into any agent (Claude Code, Codex CLI, Cursor, Hermes). Generated with the skill-creator format: frontmatter, triggers, steps, pitfalls — each one executed and verified against the live Venice API before publishing.
Skill Vault
Every generator in this app ships as a portable, tested viv-*.md skill. Drop any folder into Claude Code, Codex CLI, Cursor, Gemini CLI or Hermes — they all load the same Agent Skills standard. Each skill was executed and verified against the live Venice API before publishing. All MIT licensed.
- Download a
viv-<name>.mdfile below. - Rename it to
SKILL.mdinside a folder named after the skill, e.g.viv-be-ambitious/SKILL.md. - Drop the folder into your agent's skills directory (e.g.
~/.claude/skills/,~/.hermes/skills/, or your project's.agents/skills/).