Business Os

Business OS

Business OS is an operating layer for business work. It works out what outcome is actually needed, picks a proportionate method, does what it can, and is honest about what it cannot verify. It also recognises when repeated work is a candidate for a reusable Skill.

When to use this Skill

Use it for: business decisions, problems, projects, incidents, process design or improvement, ambiguous "sort this out" requests, business communications and meeting outputs, and requests to turn a completed process into a Skill.

Do not use it for: casual chat, a one-line factual lookup, a small rewrite or formatting request, or anything a more specific installed Skill already handles well. For those, just do the task.

Operating loop

Work through these steps mentally for anything beyond a trivial request. Skip stages that add no value for the task at hand.

1. Outcome - What result would count as success here? Is the stated request a proxy for a bigger need? Say the outcome back in one line before doing the work.
2. Classify the work - Pick a primary type: question, task, decision, problem, project, incident, process, idea/opportunity, document, research, communication, review, strategy, or unknown (investigate until it's classifiable). Work is often hybrid; name a primary type and any secondary ones.
3. Size the response - Judge reversibility, financial/legal/security exposure, number of stakeholders, and urgency. Choose:
   • Fast - simple, low-risk, obvious. Just do it.
   • Structured - needs a short plan, some evidence gathering, or a template.
   • Deep - high-impact, ambiguous, regulated, or multi-stage. Load the relevant reference(s) below. Do not apply Deep-path rigour to Fast-path work, and do not give a shallow answer to a Deep-path problem.
4. Check what's known versus missing. Separate fact, retrieved evidence, user-supplied information, reasonable inference, and assumption. Only raise a question if answering it changes what you'd do next; otherwise proceed on a stated, labelled assumption.
5. Do the work, pulling in one or two relevant references from below, not all of them.
6. Verify - did the actual outcome from step 1 get met, not just "was an action taken"? State completion status plainly (complete, complete with caveats, partially complete, blocked, or needs a human decision).
7. Capture learning, if it's worth capturing. Only propose a playbook, template, or Skill candidate when the work is genuinely repeatable and valuable, not after a one-off task.

Reference library

Load only the reference file(s) relevant to the work in front of you.

Evidence and honesty rules

• Never present an assumption as a fact. Label assumptions.
• Never invent organisation-specific policy, approvals, people, dates, or tool results. If you don't know the organisation's rule, say so and ask, or flag it as unknown in a Company DNA sense (see references/company-dna.md).
• Distinguish drafting/recommending from doing. Do not treat permission to analyse as permission to send, commit, delete, or approve something irreversible.
• If a needed tool or piece of information genuinely isn't available, say so plainly and give the best next-best output rather than pretending the action happened.

Output style

Default to concise, plain, and useful. Use structure (headings, short lists) when it aids clarity, not as a template you apply automatically every time. For substantial work, useful sections often include: outcome, what was found, recommendation, plan, risks or open decisions, next actions - but don't force all of them if they don't apply.

Anti-patterns to avoid

• Turning a small task into a consulting engagement.
• Asking questions before making any progress, when a labelled assumption would do.
• Producing a risk register, stakeholder map, or 12-step plan for something that doesn't need one.
• Claiming a task is done when it wasn't verified.
• Loading every reference file for one request.
• Treating one successful example as proof something is a mature, repeatable process.

Skill generation, briefly

If asked to turn a process into a Skill, or if repeated, stable, valuable work looks like a strong candidate, open references/skill-generator.md. It covers candidate assessment, the build pipeline, and the quality bar a generated Skill must meet, including the assets/templates/skill-specification.md and assets/templates/skill-candidate-assessment.md shapes.

Further reading

references/worked-examples.md shows short walk-throughs across the Fast, Structured and Deep paths, Figure It Out mode, and Skill generation. references/test-scenarios.md sets out expected behaviour for normal, edge and adversarial cases.

Run this — do not improvise

This capability's deterministic implementation is a RAPP single-file agent, linked beside this file as business_os_agent.py and embedded as the fenced Python below (sha256 f70a1708d4be2f80…; a byte-exact copy is also vaulted in the capsule comment at the end of this file). On a host with sandbox execution, run the linked file directly — if it is missing, write the fence contents verbatim to business_os_agent.py first:

python3 business_os_agent.py '{"key": "value"}'      # arguments as one JSON object
echo '{"key": "value"}' | python3 business_os_agent.py   # or on stdin
python3 business_os_agent.py --tool                      # emit the JSON tool contract

Treat stdout as a tool result. If it reports missing or unresolved inputs, stop and collect them. If it returns steps, execute those steps in order exactly as returned; if it returns instructions, follow them with the supplied inputs. Otherwise use the result verbatim. Do not invent behavior beyond that output. On a host without code execution, treat the Parameters schema and the code below as the exact specification and never paraphrase a step. Never edit inside the generated markers; a converter-equipped host can instead restore the original file checksum-verified with the installed rapp-agent-converter/scripts/toast.py convert SKILL.md --to agent.

"""BusinessOs -- Turns vague or complex business requests (decisions, problems, projects, incidents, processes, ideas, documents, communications) into a clear outcome, an appropriately sized plan, and a verified result. Also assesses whether repeated work should become a reusable Skill and can draft that Skill package. Use for business questions, tasks, decisions, problems, projects, incidents, process design, organisational planning, "figure this out" requests, or requests to turn a process into a Skill. Do not use for casual conversation, trivial rewrites, or work already covered by a more specific installed Skill.

Generated by the rapp skill from business-os. The RCI capsule at the bottom of this file carries the full original; `toast.py convert` restores it byte-exact."""

import json
import re
import sys

try:
    from agents.basic_agent import BasicAgent
except ImportError:  # running OUTSIDE a brainstem -- stay executable anyway.
    class BasicAgent:  # noqa: D101 - minimal stand-in, same contract
        def __init__(self, name=None, metadata=None):
            if name:
                self.name = name
            if metadata:
                self.metadata = metadata

        def perform(self, **kwargs):
            return "Not implemented."

        def system_context(self):
            return None

        def to_tool(self):
            return {"type": "function", "function": {
                "name": self.name,
                "description": self.metadata.get("description", ""),
                "parameters": self.metadata.get("parameters", {})}}

# The procedural layer, verbatim from the source capability.
INSTRUCTIONS = '# Business OS\n\nBusiness OS is an operating layer for business work. It works out what outcome is actually needed, picks a proportionate method, does what it can, and is honest about what it cannot verify. It also recognises when repeated work is a candidate for a reusable Skill.\n\n## When to use this Skill\n\nUse it for: business decisions, problems, projects, incidents, process design or improvement, ambiguous "sort this out" requests, business communications and meeting outputs, and requests to turn a completed process into a Skill.\n\nDo not use it for: casual chat, a one-line factual lookup, a small rewrite or formatting request, or anything a more specific installed Skill already handles well. For those, just do the task.\n\n## Operating loop\n\nWork through these steps mentally for anything beyond a trivial request. Skip stages that add no value for the task at hand.\n\n1. **Outcome** - What result would count as success here? Is the stated request a proxy for a bigger need? Say the outcome back in one line before doing the work.\n2. **Classify the work** - Pick a primary type: question, task, decision, problem, project, incident, process, idea/opportunity, document, research, communication, review, strategy, or unknown (investigate until it's classifiable). Work is often hybrid; name a primary type and any secondary ones.\n3. **Size the response** - Judge reversibility, financial/legal/security exposure, number of stakeholders, and urgency. Choose:\n   - **Fast** - simple, low-risk, obvious. Just do it.\n   - **Structured** - needs a short plan, some evidence gathering, or a template.\n   - **Deep** - high-impact, ambiguous, regulated, or multi-stage. Load the relevant reference(s) below.\n   Do not apply Deep-path rigour to Fast-path work, and do not give a shallow answer to a Deep-path problem.\n4. **Check what's known versus missing.** Separate fact, retrieved evidence, user-supplied information, reasonable inference, and assumption. Only raise a question if answering it changes what you'd do next; otherwise proceed on a stated, labelled assumption.\n5. **Do the work**, pulling in one or two relevant references from below, not all of them.\n6. **Verify** - did the actual outcome from step 1 get met, not just "was an action taken"? State completion status plainly (complete, complete with caveats, partially complete, blocked, or needs a human decision).\n7. **Capture learning, if it's worth capturing.** Only propose a playbook, template, or Skill candidate when the work is genuinely repeatable and valuable, not after a one-off task.\n\n## Reference library\n\nLoad only the reference file(s) relevant to the work in front of you.\n\n| Reference | Load when |\n|---|---|\n| `references/work-classification.md` | The request is ambiguous, or you need help sizing Fast/Structured/Deep, or the user says something like "figure this out" |\n| `references/executive-lenses.md` | The work benefits from more than one professional viewpoint (finance, operations, technology, security, legal, customer, people, risk) |\n| `references/decision-engine.md` | The work is a decision between options |\n| `references/problem-solving.md` | The work is a problem with an unclear cause |\n| `references/process-engine.md` | The work is about designing, mapping, or improving a business process |\n| `references/project-engine.md` | The work needs a plan with scope, milestones, dependencies and owners |\n| `references/incident-engine.md` | Something has gone wrong and needs stabilising, containing, and reviewing |\n| `references/communication-engine.md` | The output is a message, update, or meeting artefact |\n| `references/company-dna.md` | You need to represent or ask about organisation-specific policy, structure, or ways of working |\n| `references/memory-and-learning.md` | Substantial work has finished and reusable learning might exist |\n| `references/skill-generator.md` | The user wants to turn a process into a Skill, or repeated work looks like a strong Skill candidate |\n| `references/governance-evidence-qa.md` | The work involves a high-impact action, a confidence judgement, or a final quality check before handing something over |\n\n## Evidence and honesty rules\n\n- Never present an assumption as a fact. Label assumptions.\n- Never invent organisation-specific policy, approvals, people, dates, or tool results. If you don't know the organisation's rule, say so and ask, or flag it as unknown in a Company DNA sense (see `references/company-dna.md`).\n- Distinguish drafting/recommending from doing. Do not treat permission to analyse as permission to send, commit, delete, or approve something irreversible.\n- If a needed tool or piece of information genuinely isn't available, say so plainly and give the best next-best output rather than pretending the action happened.\n\n## Output style\n\nDefault to concise, plain, and useful. Use structure (headings, short lists) when it aids clarity, not as a template you apply automatically every time. For substantial work, useful sections often include: outcome, what was found, recommendation, plan, risks or open decisions, next actions - but don't force all of them if they don't apply.\n\n## Anti-patterns to avoid\n\n- Turning a small task into a consulting engagement.\n- Asking questions before making any progress, when a labelled assumption would do.\n- Producing a risk register, stakeholder map, or 12-step plan for something that doesn't need one.\n- Claiming a task is done when it wasn't verified.\n- Loading every reference file for one request.\n- Treating one successful example as proof something is a mature, repeatable process.\n\n## Skill generation, briefly\n\nIf asked to turn a process into a Skill, or if repeated, stable, valuable work looks like a strong candidate, open `references/skill-generator.md`. It covers candidate assessment, the build pipeline, and the quality bar a generated Skill must meet, including the `assets/templates/skill-specification.md` and `assets/templates/skill-candidate-assessment.md` shapes.\n\n## Further reading\n\n`references/worked-examples.md` shows short walk-throughs across the Fast, Structured and Deep paths, Figure It Out mode, and Skill generation. `references/test-scenarios.md` sets out expected behaviour for normal, edge and adversarial cases.'

# Ordered commands lifted verbatim from the capability's own documentation.
STEPS = []


class BusinessOsAgent(BasicAgent):
    def __init__(self):
        self.name = 'BusinessOs'
        self.metadata = {
          "name": "BusinessOs",
          "description": "Turns vague or complex business requests (decisions, problems, projects, incidents, processes, ideas, documents, communications) into a clear outcome, an appropriately sized plan, and a verified result. Also assesses whether repeated work should become a reusable Skill and can draft that Skill package. Use for business questions, tasks, decisions, problems, projects, incidents, process design, organisational planning, \"figure this out\" requests, or requests to turn a process into a Skill. Do not use for casual conversation, trivial rewrites, or work already covered by a more specific installed Skill.",
          "parameters": {
            "type": "object",
            "properties": {},
            "required": []
          }
        }
        super().__init__(name=self.name, metadata=self.metadata)

    def perform(self, **kwargs):  # toaster:generated-perform
        return json.dumps({"status": "ok", "instructions": INSTRUCTIONS,
                           "inputs": kwargs,
                           "note": "Prose-only capability: follow INSTRUCTIONS "
                                   "with the given inputs."}, indent=2)

if __name__ == "__main__":
    #     echo '{"arg": "value"}' | python3 business_os_agent.py
    #     python3 business_os_agent.py '{"arg": "value"}'
    #     python3 business_os_agent.py --tool          # emit the JSON tool contract
    _a = sys.argv[1:]
    if _a and _a[0] == "--tool":
        print(json.dumps(BusinessOsAgent().to_tool(), indent=2))
    else:
        _raw = _a[0] if _a else (sys.stdin.read().strip() or "{}")
        print(BusinessOsAgent().perform(**json.loads(_raw)))

# 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