Specialist agents
47 prebuilt role agents — architects, reviewers, debuggers, researchers, PMs, sales, CS, marketing. Each one a curated prompt + tool preset, ready to drop into an Agent or hand to an Autopilot.
shipit_agent ships with 47 prebuilt role specialists loaded from
shipit_agent/agents/agents.json. Each one is a complete
AgentDefinition — role, goal, backstory, model preference, tool
preset, and a production-quality system prompt.
TL;DR —
AgentRegistry().get("<id>")gives you a specialist. Drop it intoAgent(prompt=spec.prompt, tools=...)or hand the prompt to an Autopilot for long-running role-aligned work.
The 7 new roles (this release)
| ID | Category | What it does |
|---|---|---|
generalist-developer | Engineering | Implement a focused change end-to-end: read code → smallest correct patch → verify → report. No unrelated refactors. |
debugger | Engineering | Reproducer-first root-cause analyst. Refuses to patch until it has a minimal repro + a one-paragraph root-cause statement. |
design-reviewer | Design | UX / UI critic + accessibility auditor. User-task first, contrast numbers non-negotiable, every finding tagged P0 / P1 / P2. |
product-manager | Product | Scope minimally, name non-goals, tie to a measurable metric. Spec format: Problem / Solution / User Flow / Non-Goals / Risks / Metrics / Launch. |
sales-outreach | Sales | B2B account research + first-touch email drafter. One trigger event, one pitch sentence, ≤120-word email. |
customer-success | Customer Success | Read before writing. 30-day plan tied to the customer's stated goal. Red-flag rules for churn prevention. |
marketing-writer | Marketing | Launch / landing copy that converts. Concrete over clever; swaps "blazing fast" for "10k-row table in 120ms". |
Plus the 40 pre-existing specialists (architects, reviewers, devops, security — see the full list below).
Using a specialist
from shipit_agent import Agent
from shipit_agent.agents import AgentRegistry
from shipit_agent.builtins import get_builtin_tools
registry = AgentRegistry()
dev = registry.get("generalist-developer")
agent = Agent(
llm=llm,
prompt=dev.prompt,
tools=get_builtin_tools(project_root="."),
max_iterations=dev.maxIterations or 40,
name=dev.name,
)
result = agent.run("Add a docstring to BudgetPolicy.exceeded explaining the return shape.")
print(result.output)Pairing a specialist with Autopilot
For long-form role work — a multi-hour research brief, a multi-PR security sweep — hand the specialist's prompt to an Autopilot with a matching budget:
from shipit_agent import Autopilot, BudgetPolicy, Goal
from shipit_agent.tools.research_brief import ResearchBriefTool
researcher = AgentRegistry().get("researcher")
autopilot = Autopilot(
llm=llm,
goal=Goal(
objective="Compile a two-page brief on Python type checkers.",
success_criteria=["Covers mypy / pyright / pyre",
"Each checker has a one-line tradeoff",
"Ends with a recommendation table",],
),
tools=[ResearchBriefTool()],
budget=BudgetPolicy(max_iterations=6, max_seconds=600),
critic=True,
artifacts=True,
prompt=researcher.prompt,
)
autopilot.run(run_id="type-checkers-brief")Full roster
Architecture (5)
architect— Software Architectsystem-designer— Distributed Systems Designerdatabase-architect— Database Architectapi-designer— API Designerfrontend-architect— Frontend Architect
Engineering (9)
code-reviewer— Senior Code Reviewerrefactor-cleaner— Refactor Cleanerpython-reviewer·typescript-reviewer·go-reviewer·rust-reviewergeneralist-developer·debugger
Security (4)
security-auditor·pentester·threat-modeler·security-fixer
Privacy (1)
privacy-reviewer
DevOps (4)
devops-engineer·docker-specialist·k8s-operator·ci-cd-builder
Design (1)
design-reviewer
Product (1)
product-manager
Sales (1)
sales-outreach
Customer Success (1)
customer-success
Marketing (1)
marketing-writer
Research (1)
researcher
… plus 18 more (data, docs, QA, support, writing)
Run AgentRegistry().all() to enumerate the full list or inspect
shipit_agent/agents/agents.json directly.
Adding your own specialist
Drop a JSON object into agents.json:
{
"id": "compliance-reviewer",
"name": "Compliance Reviewer",
"role": "SOC 2 / HIPAA / GDPR compliance auditor",
"goal": "Evaluate changes against the organisation's controls.",
"backstory": "You have led four SOC 2 Type II audits...",
"model": "opus",
"tools": ["read_file", "grep_search", "list_directory"],
"skills": [],
"maxIterations": 15,
"prompt": "When reviewing a change:\n\n1. ...",
"category": "Compliance",
"tags": ["compliance", "audit"],
"version": "1.0.0",
"author": "you"
}AgentRegistry() picks it up automatically. Commit the JSON to share
the specialist with your team.
Notebooks
notebooks/40_specialists_developer_debugger_researcher.ipynbnotebooks/41_specialists_design_pm_sales_cs_marketing.ipynbnotebooks/44_complete_tour.ipynb— specialists in context with Autopilot + fan-out + critic + artifacts.