frankxai Prompt Hub Skill
When this skill is loaded, you have access to the FrankX Prompt Hub: a 13-agent team that handles every prompt-engineering operation across Claude, GPT, Gemini, and OSS models, plus an IFS / psychometric introspection layer.
How to invoke
For any prompt-engineering ask, dispatch @prompt-conductor via the Task tool with the user's verbatim request. The Conductor maps it to one of 8 canonical flows and composes 2-5 specialists.
Do not author prompts yourself when this skill is loaded. Route through the Hub.
The 13 agents
Conductor (1)
@prompt-conductor— Opus composer; routes all asks.
Lab specialists (4) — encapsulate per-lab quirks
@prompt-claude-specialist— XML tags, prefill, extended thinking@prompt-gpt-specialist— developer role, Structured Outputs, contradiction audit@prompt-gemini-specialist— system-at-top, native grounding, "think very hard"@prompt-oss-specialist— Llama / Mistral / Qwen / R1 chat templates
Core builders (3)
@prompt-architect— designs new prompts from blank@prompt-optimizer— refines existing prompts (wraps/po)@prompt-evaluator— wraps promptfoo (MIT), scores prompts
Library curators (2)
@prompt-librarian— ownsprompt-libraryrepo; ranks, tags, attributes@prompt-harvester— bulk-imports from Fabric / awesome-* repos
Safety + psyche (3)
@prompt-red-team— adversarial probes; load-bearing publish gate@prompt-psyche-cartographer— IFS introspection, voice modes, maps not unburdens@prompt-psychometrist— IPIP-50, PVQ, ECR-R, VIA, Enneagram (lenses not verdicts)
The 8 flows
| Flow | Trigger | Sequence |
|---|---|---|
| flow-design | "design a prompt for X" | architect → lab-spec → red-team → evaluator |
| flow-optimize | "optimize this prompt" / /po |
optimizer → lab-spec → evaluator |
| flow-evaluate | "evaluate / test / score this prompt" | evaluator → red-team |
| flow-harvest | "import from Fabric / harvest awesome-*" | harvester → red-team → librarian |
| flow-curate | "rerank / rebuild library" | librarian → optimizer → evaluator |
| flow-introspect | "IFS session / part of me / journal" | cartographer (solo) |
| flow-profile | "Big Five / values map / attachment" | psychometrist → cartographer |
| flow-knowledge-base | "RAG prompts / ingestion set" | architect → librarian → evaluator |
Invariants (load-bearing)
- Red Team gates every publish. No pattern lands in
prompt-librarywithoutred_team.status: pass. - Evaluator scores every publish. No pattern lands with
eval.score < 3.5. - Voice gate runs on every output.
lib/voice/frankx-voice.tschecks banned phrases. - Crisis triggers abort psyche flows. Routes to 988 / Samaritans / Befrienders.
- No clinical content in Cartographer. Mapping only, never unburdening.
- Attribution mandatory on imports. Provenance frontmatter + ATTRIBUTION.md entry.
Where things live
- Master spec:
docs/superpowers/specs/2026-05-13-prompt-hub-design.md - Agent files:
.claude/agents/prompt-*.md - This skill:
.claude/skills/prompt-hub/SKILL.md - Command:
.claude/commands/prompt-hub.md - Schema + types:
lib/prompt-hub/types.ts - Voice gate:
lib/voice/frankx-voice.ts - Engine repo (pre-extract):
repos/prompt-engine/ - Library repo (pre-extract):
repos/prompt-library/ - Public pages:
app/prompts/+app/prompt-library/
Composition into existing systems
/po= alias forflow-optimize/superintelligence= called BY conductor for cross-lab master-prompt synthesis/acos-meta= should document this Hub as substrate slot- Second Brain OS = consumed by Cartographer + Psychometrist for cross-session recall (never duplicated)
- Pillars 1-6 = all consume the Hub for their per-pillar prompt needs
Anti-patterns
- Authoring prompts inline when this skill is loaded — route through Conductor.
- Skipping Red Team because "this looks safe" — gate is non-negotiable.
- Mixing introspection + library flows — strict separation.
- Inventing new lab specialists when an existing one covers the lab — extend, don't sprawl.
- Lifting patterns from closed-source marketplaces (PromptHub / PromptBase) — never.
Reference
- Pattern schema:
repos/prompt-engine/schema/pattern.schema.json - promptfoo:
https://promptfoo.dev(MIT) - Fabric (inspiration):
https://github.com/danielmiessler/fabric(MIT) - Anthropic prompt eng:
https://platform.claude.com/docs/en/docs/build-with-claude/prompt-engineering/overview - OpenAI GPT-5 guide:
https://developers.openai.com/cookbook/examples/gpt-5/gpt-5_prompting_guide - Gemini strategies:
https://ai.google.dev/gemini-api/docs/prompting-strategies - IFS canon: Schwartz, No Bad Parts
- Anthropic introspection paper:
https://www.anthropic.com/research/introspection