Onboarding conversation to generate a user profile.
npx skills add https://github.com/HezaoHezao/poirot --skill bootstrap
A conversational onboarding skill. Through 5–8 adaptive rounds, extract who
the user is and what they need, then generate a tight .poirot/profile.md
that defines the agent's working relationship with this user.
> Poirot note: The original deer-flow skill generates a SOUL.md via a
> setup_agent tool. Poirot has no setup_agent tool or SOUL.md concept.
> This version generates .poirot/profile.md (a user profile) via write_file.
gentle pushback. Mirror their energy and vocabulary.
Phase 3, the user should feel understood.
distill, advance.
out a form.
The conversation has 4 phases. Each phase may span 1–3 rounds depending on how
much the user shares. Skip or merge phases if the user volunteers information
early.
| Phase | Goal | Key Extractions |
|-------|------|-----------------|
| 1. Hello | Language + first impression | Preferred language |
| 2. You | Who they are, what drains them | Role, pain points, relationship framing, agent name |
| 3. Personality | How the agent should behave and talk | Core traits, communication style, autonomy level, pushback preference |
| 4. Depth | Aspirations, blind spots, dealbreakers | Long-term vision, failure philosophy, boundaries |
Mentally track these fields as the conversation progresses. You need **all
required fields** before generating.
| Field | Required | Source Phase |
|-------|----------|-------------|
| Preferred language | ✅ | 1 |
| User's name | ✅ | 2 |
| User's role / context | ✅ | 2 |
| Agent name | ✅ | 2 |
| Relationship framing | ✅ | 2 |
| Core traits (3–5 behavioral rules) | ✅ | 3 |
| Communication style | ✅ | 3 |
| Pushback / honesty preference | ✅ | 3 |
| Autonomy level | ✅ | 3 |
| Failure philosophy | ✅ | 4 |
| Long-term vision | nice-to-have | 4 |
| Blind spots / boundaries | nice-to-have | 4 |
If the user is direct and thorough, you can reach generation in 5 rounds. If
they're exploratory, take up to 8. Never exceed 8 — if you're still missing
fields, make your best inference and confirm.
Once you have enough information:
# Profile: <Agent Name>
## User
- Name: <user's name>
- Role: <user's role / context>
- Preferred language: <language>
## Relationship
<relationship framing — e.g., "trusted technical pair-programmer">
## Core Traits
- <behavioral rule 1>
- <behavioral rule 2>
- <behavioral rule 3>
- <behavioral rule 4>
- <behavioral rule 5>
## Communication Style
<how the agent should talk — tone, density, formality>
## Autonomy
<autonomy level — how much the agent decides vs asks>
## Pushback
<pushback / honesty preference>
## Failure Philosophy
<how to handle mistakes and dead ends>
## Vision
<long-term vision, if shared>
## Boundaries
<blind spots / boundaries, if shared>
paper — does this feel right?"
write_file to .poirot/profile.md:write_file(".poirot/profile.md", "<full profile content>")
.poirot/profile.md."Generation rules:
No generic filler.
push back, speak truth not comfort" — not "honest and brave."
it breathe.
write_file returns an error, report it to the user and do not claimsuccess.
than dragging on
"speak truth even when uncomfortable" is a rule
write_file to .poirot/profile.md; don't justprint to chat
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take hezaohezao/bootstrap 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.