suede-ops-assessment
Suede AI operations-assessment discipline that maps how work actually happens before anyone designs a system: floor-level interviews with the people who do…
Skill by JasonColapietro
Chalk Labs
Need help deploying suede-ops-assessment?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/jasoncolapietro-suede-ops-assessment
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: data, sales, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/suede-ops-assessment
What's inside
- Skill name
suede-ops-assessment- Description
- Suede AI operations-assessment discipline that maps how work actually happens before anyone designs a system: floor-level interviews with the people who do the work, an inventory of every silo including spreadsheets and inboxes used as databases, friction quantified in the requester's own numbers, opportunities ranked by annual value against build complexity, and adoption watched for the thirty days after launch. Use when nobody can answer what to automate, when an operation needs auditing before a build, when tribal-knowledge and key-person risk has to surface, or when a shipped system is quietly being routed around. NOT FOR: deciding what to build and in what order once the map exists (use suede-ops-architecture); researching external customers rather than internal operators (use suede-customer-research); lead lifecycle, scoring, and CRM routing rules (use suede-revops); product instrumentation and dashboards (use suede-analytics); getting a new user to first value (use suede-onboarding).
- License
- MIT
- Metadata
- version: 1.0.0
- Instructions
- 258 lines in SKILL.md · view on GitHub
Files (5)
- CARD.md
- SKILL.md
- openai.yaml · agents/
- evals.json · evals/
- interview-guide.md · references/
SKILL.md (first lines)
# Suede AI Operations Assessment Skills ## Compatibility Works from operator interviews and authorized process records. No integration is required for an assessment; connected data access must be authorized. Agent estimates must be marked separately from requester-supplied figures. For a concrete input, expected output, recovery path, and validation check, read [the worked contract](references/worked-contract.md). Use it to check the handoff before treating the task as complete. ```text Iron law: map the floor, not the org chart. ``` Every operation has two maps. The leadership map describes how the business is meant to run. The floor map describes how the work actually gets done, including each workaround, each unofficial spreadsheet, and each extra step that exists because something broke once. A system designed from the leadership map gets routed around, because the people doing the work can feel the mismatch on day one. This skill produces the floor map and the numbers attached to it. It stops before deciding what to build. ## The requester's numbers are given Their hours, costs, volumes, error rates, and history are inputs, not claims to audit. No step here verifies, scores, hedges, or gates on a figure the requester supplied. What does get audited is anything **this skill** produces: a benchmark it reached for, an estimate it filled in, a process step it inferred rather than heard. Mark every one of those inline as `[assumed]` and list them in the Output Contract, so a reader can tell the operation's own numbers from this skill's. Never substitute an industry average for a number the requester has. Ask for theirs, or record the line as missing. ## Before Starting 1. **Scope**: which processes, departments, or surfaces are in the assessment. 2. **Access**: what the requester has authorized you to read. Work inside it. 3. **Who does the work**: names or roles per process, separated into people who perform it and people who manage it. 4. **Self-applied or on behalf**: a founder assessing their own operation reads Step 5 differently from an outside team assessing a client's. Read `references/interview-guide.md` before the first interview. ## Step 1: Interview the floor Interview at least one person **per process** who performs it, not only the person who manages it. Where the two descriptions differ, record both and mark the performer's version as the floor map. Run it as a walkthrough rather than a survey: the question is what happens next, repeated until the process ends. The guide carries the full question bank; these four earn their place in every interview. - Walk me through this from the beginning, including the steps too small to mention. - What do you type or copy by hand more than once? - Where does work sit and wait, and who is it waiting on? - If volume doubled next quarter, what breaks first? That last one returns more than the rest combined. People work next to the weakest part of the operation every day and are rarely asked about it. **Count the exceptions rather than describing them.** When someone says a path runs "only sometimes", ask how many of the last twenty cases took it. An exception that turns out to be a fifth of the volume is a main path nobody has drawn yet. **Follow up after two days.** People remember the forgotten step, the second spreadsheet, and the quarterly exception once the interview has settled. **Gate.** Every in-scope process has at least one performer interview. When the requester performs the process themselves, their own walkthrough is the performer interview: record it as such and move on rather than halting for a second person who does not exist. **Halt format.** Stop. Name each process covered only by management description. Offer: schedule the performer interview, proceed and mark that process `[leadership map only]` throughout the blueprint, or drop it from scope. Wait for the choice. ## Step 2: Inventory every silo A silo is any place operational information lives that other systems cannot see. Catalog all of them: software, spreadsheets, shared drives, inboxes used as databases, and the messaging channels where decisions actually get made. Record per entry: what it holds, who writes to it, who reads from it, what it overlaps with, and its monthly cost. Cite a proof path for anything claimed to be live: a last-write timestamp, a seat count, an invoice line, or a recent export. A tool nobody can produce evidence for is recorded **unknown**, never assumed dead or alive. **Steps with no system behind them are the finding, not a gap in the inventory.** A process step that lives only in somebody's memory is tribal knowledge: record it, name the person the operation stalls without, and carry it into the ranking as key-person risk. **Gate.** Every step from Step 1 resolves to one of three: an inventory entry, a named tribal-knowledge holder, or manual work that depends on no system at all. Physical and judgment work belongs in the third bucket; recording it as tribal knowledge invents a risk that is not there. ## Step 3: Quantify the friction in their numbers Attach a figure to each bottleneck, built from three components. Show the inputs beside each result so a reader can check the arithmetic. | Component | Formula | |---|---| | Labor | hours per week × loaded hourly cost × 52 | | Error | cost per occurrence × occurrences per year | | Throughput | work the team could not take on, priced the way the requester prices it |
From JasonColapietro/suede-creator-skills, MIT.
More from JasonColapietro/suede-creator-skills
- 0.754score
suede-ab-testing
JasonColapietro
Suede AI experimentation discipline: hypotheses, sample size and power, test duration, guardrail metrics, significance and readouts, sequential designs, and…
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
suede-sync-packaging
JasonColapietro
Suede AI skill that prepares a song for sync pitching: scene and emotional angles, a supervisor-facing one-sheet, an exists/missing/unknown asset checklist…
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
android-app-factory
JasonColapietro
Suede AI Android app factory: plan, build, test, and prepare a production native Android app from product idea to a Play-ready signed bundle.
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
site-to-ios-app
JasonColapietro
Suede AI workflow for turning a live website, PWA, dashboard, or marketplace into an iOS app.
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
suede-ad-creative
JasonColapietro
Suede AI paid-media creative system: angles, hooks, headlines, primary text, RSA and Performance Max assets, static and motion concepts, iOS-native reveal…
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
suede-ads
JasonColapietro
Suede AI paid-acquisition operating system for channel choice, campaign structure, audiences, bidding, budget pacing, negative keywords, retargeting, B2B and…
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
suede-ai-eval
JasonColapietro
Suede AI eval design and coverage audit: AI-SPEC, failure-mode rubric with severity scoring, concrete pass/fail eval cases, coverage and infrastructure…
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
suede-ai-seo
JasonColapietro
Suede AI answer-engine and generative-engine optimization (AEO/GEO) program for getting a brand cited and recommended in Google AI Overviews and AI Mode…
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
suede-analytics
JasonColapietro
Suede AI measurement discipline: tracking plans, event and key-event instrumentation in GA4 and GTM, consent mode v2, UTM hygiene, AI assistant and organic…
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
suede-aso
JasonColapietro
Suede AI app-store optimization for keyword fields, titles, subtitles, descriptions, screenshots, ratings context, and competitor listing audits.
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
suede-attribution
JasonColapietro
Suede AI marketing attribution: which channels actually drive conversions and revenue, how to choose and read attribution models, reconcile conflicting…
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
suede-campaign-in-a-box
JasonColapietro
Suede AI artist campaign rollout for a song, release, era, show, or catalog moment.
SkillAFreshness: A★ 125Claude Code +9
Signals
- Stars
- 125
- Forks
- 12
- Open issues
- 4
- Contributors
- 3
- Last commit (this folder)
- Oct 24, 2026 (7 days ago)
- Last release
- Aug 4, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.0
- License
- MIT
- Website
- skills.suedeai.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from JasonColapietro
- 0.754score
suede-ad-creative
JasonColapietro
Suede AI paid-media creative system: angles, hooks, headlines, primary text, RSA and Performance Max assets, static and motion concepts, iOS-native reveal…
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
suede-ab-testing
JasonColapietro
Suede AI experimentation discipline: hypotheses, sample size and power, test duration, guardrail metrics, significance and readouts, sequential designs, and…
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
suede-sync-packaging
JasonColapietro
Suede AI skill that prepares a song for sync pitching: scene and emotional angles, a supervisor-facing one-sheet, an exists/missing/unknown asset checklist…
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
android-app-factory
JasonColapietro
Suede AI Android app factory: plan, build, test, and prepare a production native Android app from product idea to a Play-ready signed bundle.
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
site-to-ios-app
JasonColapietro
Suede AI workflow for turning a live website, PWA, dashboard, or marketplace into an iOS app.
SkillAFreshness: A★ 125Claude Code +9 - 0.754score
suede-ads
JasonColapietro
Suede AI paid-acquisition operating system for channel choice, campaign structure, audiences, bidding, budget pacing, negative keywords, retargeting, B2B and…
SkillAFreshness: A★ 125Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get suede-ops-assessment running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
suede-ops-assessment skill. Agent Mart. https://agentmart.dev/skills/jasoncolapietro-suede-ops-assessment (last updated 2026-10-24)