Rolling Suds Customer Quote Intake

v0.1.10

Normalize messy Rolling Suds customer or salesperson inputs for exterior cleaning jobs into a clean intake summary, estimator-ready handoff, Workiz-friendly...

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byMichael D@mwdearing

Install

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Rolling Suds Customer Quote Intake" (mwdearing/rolling-suds-customer-quote-intake) from ClawHub.
Skill page: https://clawhub.ai/mwdearing/rolling-suds-customer-quote-intake
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

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openclaw skills install rolling-suds-customer-quote-intake

ClawHub CLI

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npx clawhub@latest install rolling-suds-customer-quote-intake
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Purpose & Capability
The name/description (customer quote intake for Rolling Suds) matches the instructions: normalize messy lead text into intake, estimator handoff, Workiz note, follow-ups and flags. The skill references an estimator workflow and Workiz lead numbers appropriately; nothing requests unrelated capabilities (no cloud creds, no unrelated binaries).
Instruction Scope
SKILL.md contains detailed, bounded instructions about parsing text/chat/call-summary inputs and producing structured outputs. It does not instruct the agent to read arbitrary local files, access system config, or transmit data to unexpected external endpoints. Photo handling is mentioned as an input type but no image-upload or external-host instructions are present.
Install Mechanism
There is no install spec and no code files to execute; the skill is instruction-only, which minimizes on-disk or remote-install risk.
Credentials
The skill does not request environment variables, credentials, or config paths. The references to Workiz Lead # and another internal estimator skill are contextual and expected for its purpose; no secrets are required.
Persistence & Privilege
The skill is not force-installed (always: false) and does not request persistent system privileges or changes to other skills. Autonomous invocation is allowed by default, which is normal and not by itself a concern.
Assessment
This is a low-risk, instruction-only skill that just tells the agent how to reformat and normalize lead text. Before enabling it: confirm you are comfortable with the agent having access to any lead text or photos you give it (it may include customer personal data like addresses), and review outputs before they are forwarded to your live systems (Workiz or the estimator) to avoid accidental disclosure or mis-routing. If you expect image processing, note this skill does not include code for image analysis — images should be described in text or handled by other capabilities. If you plan to allow autonomous agent actions, consider whether the agent should be permitted to post directly to Workiz or only produce drafts for human review.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🧾 Clawdis
latestvk979xy3je44zs49qnnq4kwwrbx84a4bx
112downloads
0stars
4versions
Updated 3w ago
v0.1.10
MIT-0

Rolling Suds customer quote intake

Current skill version: 0.1.10

Turn messy job requests into clean, actionable intake output for sales and estimating.

Core job

Take rough real-world inputs such as:

  • customer text messages
  • salesperson notes
  • pasted chat transcripts
  • address only
  • address plus notes
  • photos plus notes
  • rough call summaries

Convert them into:

  1. intake summary
  2. estimator handoff
  3. Workiz note
  4. follow-up questions
  5. manual-review flags

Core rules

  • Require the Lead number before producing an estimator-ready handoff. Example: Lead 502 or Lead 501.
  • If the Lead number is missing, stop and ask for it before handing off to the estimator.
  • Clean up the input before pricing anything.
  • Do not price the job directly unless the user explicitly asks; prefer handing off to residential-property-rolling-suds-estimator.
  • If the wording says the customer agreed to an in-person visit, treat that as a real-quote appointment signal.
  • If the wording says the customer agreed to a virtual appointment, treat that as a real virtual-quote appointment signal.
  • Normalize vague phrasing into clear service names and property clues.
  • Separate known facts from assumptions.
  • Address is required before estimate workflow can move forward.
  • Ask only the smallest useful set of follow-up questions.
  • Flag manual-review issues early instead of pretending confidence.
  • Keep output short, practical, and internal-use friendly.

Recognize these services

Normalize messy language into these service categories when possible:

  • house wash
  • driveway cleaning
  • patio cleaning
  • porch cleaning
  • sidewalk cleaning
  • deck cleaning
  • fence cleaning
  • window cleaning

Examples of messy wording to normalize:

  • pressure wash the house
  • powerwash driveway
  • front concrete
  • back patio
  • clean windows
  • wash the fence
  • soft wash siding

Output format

Always return these blocks.

1) Intake summary

Intake Summary
- Lead number:
- Address:
- Service area fit:
- Requested services:
- Property clues:
- Condition clues:
- Scheduling notes:
- Intake confidence:

2) Estimator handoff

Estimator Handoff
Address:
Requested services:
Known details:
Missing details:
Manual review flags:

3) Workiz note

Workiz Note
...

4) Follow-up questions

Follow-up Questions
- ...
- ...

5) Manual review flags

Manual Review Flags
- ...

Intake workflow

  1. Read the raw input.
  2. Extract Workiz Lead # when present, address, city, services requested, property clues, condition clues, schedule clues, appointment status clues, appointment type clues, and obvious blockers.
  3. If the Lead number is missing, stop and request it before estimator handoff.
  4. Normalize services and remove duplicate phrasing.
  5. If the wording indicates an agreed in-person visit, classify it as a quote appointment rather than a vague lead.
  6. If the wording indicates a virtual appointment, classify it as a quote appointment and note any photo/access dependency.
  7. Decide what is known versus assumed.
  8. Produce an estimator-ready handoff only when the Lead number and required estimating data exist.
  9. Produce a short Workiz note.
  10. Ask only the highest-value missing questions.
  11. Flag manual-review items.

Follow-up question priorities

Ask only what meaningfully improves estimate quality.

High priority:

  • Lead number if missing
  • exact address if missing
  • services requested if unclear
  • photos available?
  • whether the quote is virtual or in-person if unclear
  • siding type if relevant to house wash
  • fence type if fence cleaning is requested or mentioned
  • deck/fence wood finish if natural wood risk exists
  • timing / preferred schedule if relevant

Also ask when clearly needed:

  • driveway size clues
  • gate / dog / access issues
  • heavy stains, oxidation, rust, or unusual buildup
  • whether windows are part of the request

Manual-review triggers

Flag these by default when present or strongly implied:

  • chain link fence
  • commercial or multi-unit property
  • incomplete or invalid address
  • outside St. Louis metro / beyond 50 miles
  • natural wood deck or fence
  • unknown fence type
  • mixed exterior materials
  • heavy oxidation, rust, oil, or unusual staining
  • low-confidence scope with no photos
  • steep access, gate issues, dogs, or unusual site constraints

Confidence guidance

Use high intake confidence when:

  • address is complete
  • requested services are clear
  • important materials/features are identified
  • few critical follow-up questions remain

Use medium when:

  • major services are clear
  • some property clues are present
  • a few useful questions remain

Use low when:

  • address is incomplete or unverified
  • services are vague
  • scope depends heavily on missing photos or unknown materials

If the Lead number is missing, do not continue to estimator-ready workflow. If address is missing, do not continue to estimator-ready workflow as if the lead were valid for pricing.

Handoff behavior

When enough information exists, make the estimator handoff easy to paste directly into residential-property-rolling-suds-estimator. Preserve the Workiz Lead # in the handoff.

If the input is too weak for estimating, say so and emphasize the missing pieces. If customer/contact details are missing only because they were not included in a pasted lead description blob, say that clearly instead of implying the CRM lacks them. If the Lead number is missing, treat that as required missing data and do not produce an estimator-ready handoff. If the address is missing, treat that as required missing data and do not produce an estimator-ready handoff.

If the customer asks for only part of the house, note that the $250 single-service minimum may make a whole-house quote the better customer value. For those cases, tee up the estimator to provide both a recommended whole-house quote and a separate $250 partial-only comparison quote.

This skill is designed to hand off cleanly to residential-property-rolling-suds-estimator. When possible, make the Estimator Handoff block easy to paste directly into that skill.

Workiz note style

Keep the Workiz note:

  • short
  • factual
  • internal-facing
  • easy to paste
  • free of assistant fluff
  • clear about whether this is an in-person or virtual quote appointment when the wording implies that

Good style:

  • Customer requesting house wash and driveway cleaning at single-family home in Florissant. Notes suggest vinyl siding and large driveway. Final estimate pending confirmation of exterior condition and any additional surfaces.

Interaction style

  • Be practical.
  • Prefer short bullets over long paragraphs.
  • Do not act like a chatbot.
  • Do not use fake certainty.

Wording interpretation rule

Some cold-calling or lead-gen services use awkward phrasing. Interpret intent, not just literal wording.

Examples:

  • "agreed to an in-person visit" -> treat as a real quote appointment
  • "agreed to a virtual appointment" -> treat as a real virtual quote appointment
  • "interested to avail" -> treat as interest in service, not as a literal phrase to preserve
  • awkward grammar should be normalized into clean internal wording

Read references/default-design.md before major edits or iteration.

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