Agent skill

Cs Onboard

by borghei in borghei/Claude-Skills

Structured C-suite onboarding via a founder interview that captures company context into a persistent file used by all advisory skills.

MITAuto-check passed

Install Cs Onboard

skills CLI
$ npx skills add borghei/Claude-Skills --skill cs-onboard -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install borghei/Claude-Skills cs-onboard --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/c-level-advisor/cs-onboard .claude/skills/cs-onboard && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cs-onboard
GitHub stars
881
Token cost
~4.8k tokens
SKILL.md length
2,112 words
Files
1
Skills in repo
349
Repo updated
First seen
Licence
MIT

At a glance

Structured C-suite onboarding via a founder interview that captures company context into a persistent file used by all advisory skills.

  • Works in 6 steps: One question at a time. Never list… → Follow threads. When something… → Reflect back. "So the real issue sounds… → …
  • Setting up advisory context
  • SKILL.md covers Overview, Commands, Interview Principles and The 7 Interview Dimensions, plus 12 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cs Onboard is an agent skill from borghei/Claude-Skills. Structured C-suite onboarding via a founder interview that captures company context into a persistent file used by all advisory skills. Use when setting up advisory context, refreshing stale context, or onboarding a new executive.

Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

  • Setting up advisory context
  • Refreshing stale context
  • Onboarding a new executive

Example prompts

  • “/cs-onboard”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. One question at a time. Never list multiple questions.
  2. Follow threads. When something interesting surfaces, go deeper before moving on.
  3. Reflect back. "So the real issue sounds like X -- is that right?"
  4. Watch for what they skip. Avoidance signals the most important areas.
  5. Never read from a list. Use the framework as a map, not a script.
  6. Earn the hard questions. Start easy, build trust, then ask about weaknesses and fears.

What it can do on your machine

Read from SKILL.md and the folder at commit 4a698e8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cs Onboard loads about 4.8k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 2,112 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 2,112 words, ~4,754 tokens.

Download SKILL.mdSave it as .claude/skills/cs-onboard/SKILL.md (or your agent's skills folder).
name
cs-onboard
description
Structured C-suite onboarding via a founder interview that captures company context into a persistent file used by all advisory skills. Use when setting up advisory context, refreshing stale context, or onboarding a new executive.
license
MIT + Commons Clause
metadata.version
1.0.0
metadata.author
borghei
metadata.category
c-level
metadata.domain
orchestration
metadata.tier
POWERFUL
metadata.updated
2026-03-09
metadata.frameworks
founder-interview, context-capture, quarterly-refresh

C-Suite Onboarding

Tier: POWERFUL Category: C-Level Advisory Tags: onboarding, company context, founder interview, advisor setup, context capture, executive onboarding

Overview

C-Suite Onboarding captures the company context that powers every C-level advisory skill. One structured conversation produces a persistent context file that transforms generic advice into specific, situationally-aware guidance. Without context, advisory skills give textbook answers. With context, they give your-company answers.


Commands

CommandDurationPurpose
/cs:setup45 minutesFull onboarding interview across 7 dimensions
/cs:update15 minutesQuarterly refresh -- what changed since last capture
/cs:score5 minutesAssess context completeness and freshness

Interview Principles

This is a conversation, not a form. Follow these rules:

  1. One question at a time. Never list multiple questions.
  2. Follow threads. When something interesting surfaces, go deeper before moving on.
  3. Reflect back. "So the real issue sounds like X -- is that right?"
  4. Watch for what they skip. Avoidance signals the most important areas.
  5. Never read from a list. Use the framework as a map, not a script.
  6. Earn the hard questions. Start easy, build trust, then ask about weaknesses and fears.

Opening line:

"Tell me about the company in your own words -- what are you building and why does it matter?"

Then let the conversation flow naturally across the 7 dimensions.


The 7 Interview Dimensions

Dimension 1: Company Identity

What to capture: What they do, who it is for, the real founding "why," one-sentence pitch, non-negotiable values.

Key probes:

  • "If you had to explain this to your grandmother in one sentence, what would you say?"
  • "What is a value you would fire someone over violating?"
  • "What do you refuse to compromise on, even if it costs you?"

Red flags:

  • Values that sound like marketing copy ("we empower synergies")
  • Cannot articulate the founding "why" beyond "I saw a market opportunity"
  • Mission statement that could apply to any company in the industry
Dimension 2: Stage & Scale

What to capture: Headcount (FT vs contractors), revenue range, runway, stage label, what broke in the last 90 days.

Key probes:

  • "If you had to label your stage -- still finding PMF, scaling what works, or optimizing -- which is it?"
  • "What broke in the last 90 days that you did not expect?"
  • "What is the one metric you check every morning?"

Stage Definitions:

StageSignalTypical Challenges
Pre-PMF<$500K ARR, pivoting, searchingFinding the right customer/problem/solution fit
Early PMF$500K-$2M ARR, repeatable salesHiring, process, not breaking what works
Scaling$2M-$10M ARR, growth machine buildingMiddle management, culture preservation, unit economics
Optimizing$10M+ ARR, efficiency focusInnovation stagnation, org complexity, market defense
Dimension 3: Founder Profile

What to capture: Self-identified superpower, acknowledged blind spots, archetype, what actually keeps them up at night.

Key probes:

  • "What would your co-founder (or closest advisor) say you should stop doing?"
  • "When things go wrong, what is your instinctive first reaction?"
  • "What part of running this company do you secretly dislike?"

Founder Archetypes:

ArchetypeStrengthBlind SpotAdvisory Focus
ProductDeep user empathy, product visionSales, go-to-market, delegationRevenue strategy, hiring
TechnicalEngineering excellence, technical moatsBusiness model, communicationGTM, storytelling, team
SalesRevenue generation, relationshipsProduct depth, technical debtProduct strategy, engineering
OperatorExecution, processes, efficiencyVision, innovation, risk-takingStrategy, long-term planning

Red flags:

  • No acknowledged blind spots
  • Weakness framed as strength ("I'm too much of a perfectionist")
  • Co-founder dynamics described as "fine" with no specifics
Dimension 4: Team & Culture

What to capture: Team described in 3 words, last real conflict and how it was resolved, which values are real vs aspirational, strongest and weakest leader.

Key probes:

  • "Which of your stated values is most real? Which is a poster on the wall?"
  • "Tell me about the last real disagreement in the leadership team."
  • "Who is the one person you cannot afford to lose, and why?"

Red flags:

  • "We have no conflict" -- every healthy team has conflict
  • Cannot name a weak leader -- either lying or not paying attention
  • Culture described only in positive terms with no self-awareness
Dimension 5: Market & Competition

What to capture: Who is winning and why (honest version), real unfair advantage, the competitive move that could hurt them.

Key probes:

  • "What is your real unfair advantage -- not the investor pitch version?"
  • "If your best competitor had unlimited funding, what would they do that scares you?"
  • "What do your competitors do better than you? Be honest."

Red flags:

  • "We have no real competition" -- you always have competition, even if it is the status quo
  • Unfair advantage is a feature that can be copied in 6 months
  • No awareness of competitor strategy
Dimension 6: Current Challenges

What to capture: Priority stack-rank across product/growth/people/money/operations, the decision they have been avoiding, the "one extra day" answer.

Key probes:

  • "If you had one extra day per week, what would you spend it on?" (Reveals true priority)
  • "What is the decision you have been putting off for weeks?"
  • "Rank these: product, growth, people, money, operations. What is number 1 right now?"

The "avoided decision" is often the most valuable insight. Common avoided decisions:

  • Firing an underperformer who is well-liked
  • Pivoting away from a product that is not working
  • Having an honest conversation with a co-founder
  • Raising prices
  • Cutting a feature or initiative
Dimension 7: Goals & Ambition

What to capture: 12-month target (specific and measurable), 36-month target (directional), exit vs build-forever orientation, personal success definition.

Key probes:

  • "What does 12 months from now look like if everything goes right?"
  • "What does success look like for you personally -- separate from the company?"
  • "Are you building to sell, building forever, or haven't decided?"

Red flags:

  • 12-month target that is vague ("grow a lot")
  • Personal and company goals completely disconnected
  • Exit orientation that conflicts with stated mission

Context Output Structure

After the interview, generate the context file at ~/.claude/company-context.md:

markdown
# Company Context
**Last updated:** [Date]
**Freshness:** Fresh (< 90 days)
**Completeness:** [X/7 dimensions captured]
**Interviewed:** [Founder name and role]

## 1. Company Identity
**What we do:** [One sentence]
**Who it's for:** [Target customer]
**Why it matters:** [Founding motivation -- the real version]
**One-line pitch:** [Elevator pitch]
**Non-negotiable values:** [Values they would fire over]

## 2. Stage & Scale
**Stage:** [Pre-PMF / Early PMF / Scaling / Optimizing]
**Headcount:** [X FT + Y contractors]
**Revenue:** [$X ARR / MRR]
**Runway:** [X months at current burn]
**Morning metric:** [What they check first]
**Recent break:** [What broke in last 90 days]

## 3. Founder Profile
**Archetype:** [Product / Technical / Sales / Operator]
**Superpower:** [Self-identified strength]
**Blind spot:** [Acknowledged weakness]
**Up-at-night:** [Current anxiety]
**Co-founder dynamic:** [Healthy / Strained / Solo]

## 4. Team & Culture
**Team in 3 words:** [Their words]
**Real values:** [Values that are actually lived]
**Aspirational values:** [Values that are work-in-progress]
**Key person risk:** [Who they cannot lose]
**Weakest link:** [Leadership gap]
**Last conflict:** [What happened and how resolved]

## 5. Market & Competition
**Winning competitor:** [Who and why]
**Real unfair advantage:** [Not the investor version]
**Kill-shot risk:** [Competitive move that could hurt them]
**Market position:** [Leader / Challenger / Niche / Emerging]

## 6. Current Challenges
**Priority #1:** [Top challenge area]
**Priority stack:** [Rank of product/growth/people/money/ops]
**Avoided decision:** [What they have been putting off]
**One-extra-day:** [What they would spend time on]

## 7. Goals & Ambition
**12-month target:** [Specific, measurable]
**36-month target:** [Directional]
**Orientation:** [Build to sell / Build forever / Undecided]
**Personal success:** [What success means for the founder personally]

## Notes
[Observations, inferred patterns, things to watch]
[CONTEXT UPDATE entries from subsequent sessions]

Rules:

  • Write [not captured] for unknowns -- never leave blank
  • Use their actual words when possible, not corporate paraphrasing
  • Note confidence level for inferred information
  • Never silently modify -- always confirm before updating

Context Quality Scoring

Completeness Score
Dimensions CapturedScoreLabel
7/7100%Complete
5-6/770-85%Good (identify gaps)
3-4/740-55%Partial (schedule follow-up)
1-2/715-25%Minimal (re-interview needed)
Freshness Score
AgeScoreLabelAction
< 30 daysFreshHigh confidenceUse directly
30-90 daysAgingMedium confidenceUse, flag what may have changed
90-180 daysStaleLow confidencePrompt for /cs:update
> 180 daysExpiredVery low confidenceRe-interview recommended
Quality Signals
SignalConfidence Impact
Full interview completed+High
Update done within 90 days+Medium
Key fields populated with specifics+High
Fields contain vague/generic answers-Medium
Financial fields missing-High (for CFO/CEO skills)
"Not captured" in 3+ fields-High

Quarterly Refresh Protocol (/cs:update)

Trigger: Every 90 days or after a major event (fundraise, reorg, pivot, key hire/departure).

Opening: "It has been [X time] since we captured your company context. Let's do a quick refresh. What has changed?"

Walk each dimension with a single "what changed?" question:

DimensionRefresh Question
Identity"Still the same mission, or has it shifted?"
Stage & Scale"Team size, revenue, and runway now?"
Founder"Has your role changed? What is stretching you?"
Team"Any leadership changes? New key players?"
Market"Any competitive surprises? Market shifts?"
Challenges"What is the #1 problem now vs 90 days ago?"
Goals"Still on track for the 12-month target?"

After refresh:

  • Update relevant sections in context file
  • Update Last updated timestamp
  • Reset freshness to Fresh
  • Note what changed in the Notes section

Show full SKILL.md (893 more words)Show less

Context Enrichment During Sessions

During advisory conversations, new information surfaces. Capture it without disrupting flow.

Triggers for enrichment:

  • New metric or number shared
  • Key person mentioned for the first time
  • Priority shift expressed
  • New constraint or risk surfaces
  • Timeline or deadline revealed

Protocol:

  1. Note internally during conversation
  2. At session end: "I picked up a few things that would be useful to add to your context. Want me to update the file?"
  3. If yes: append to relevant section, update timestamp
  4. If no: respect the decision

Never silently modify the context file. Always confirm before changes.


Privacy Rules

Never Send Externally
  • Specific revenue or burn rate figures
  • Customer names (unless publicly known)
  • Employee names (unless publicly known)
  • Investor names (unless publicly announced)
  • Specific runway months
  • Watch list contents
  • Avoided decisions
Safe to Use Externally (Anonymized)
  • Stage label (seed, Series A, etc.)
  • Team size ranges (1-10, 10-50, 50-200+)
  • Industry vertical
  • Challenge category (not specifics)
  • Market position descriptor
Before Any External API Call
  • Numbers become ranges or stage-relative descriptors
  • Names become roles ("the CTO" not "Sarah")
  • Revenue becomes stage labels ("early revenue" not "$800K ARR")
  • Customers become "Customer A, B, C"

Missing Context Handling

Handle gracefully -- never block the conversation.

MissingApproach
Stage"Just to calibrate -- are you still finding PMF or scaling what works?"
FinancialsUse stage + team size to infer. Note the inference.
Founder profileInfer from conversation style. Mark as inferred.
Multiple foundersContext reflects interviewee. Note co-founder perspective may differ.
Recent context"It's been a while since your last update. Should I assume things are roughly the same, or has something big changed?"

Integration with C-Suite Skills

The context file is loaded by every C-level advisory skill:

SkillUses Context For
ceo-advisorStrategic recommendations calibrated to stage and challenges
cfo-advisorFinancial guidance calibrated to runway and revenue
cto-advisorTechnical strategy calibrated to team and architecture
coo-advisorOperations advice calibrated to scale and processes
cmo-advisorMarketing strategy calibrated to stage and market position
internal-narrativeNarrative construction based on company truth
scenario-war-roomRisk variables calibrated to actual threats

SkillUse When
ceo-advisorUsing context for strategic decisions
internal-narrativeBuilding narratives from the captured context
scenario-war-roomModeling risks based on company context
context-engineTechnical implementation of context management for AI agents

Troubleshooting

ProblemLikely CauseResolution
Founder gives vague, marketing-speak answersInterview not building trust; questions too formalReset with a personal question; follow a thread they care about; use reflection ("So what you're really saying is...")
Key dimensions left as "[not captured]" after interviewFounder avoided topic or interview ran out of timeNote which dimensions were skipped (avoidance signals importance); schedule targeted follow-up for missing areas
Context file feels generic, could apply to any companyInterviewer used the framework as a script, not a mapRe-interview with focus on specifics: names, numbers, stories; capture their actual words, not paraphrases
Advisory skills still giving textbook answers despite contextContext file too sparse or stale (>90 days)Run /cs:score to assess completeness and freshness; schedule /cs:update if freshness is Stale or Expired
Quarterly refresh takes too long or feels redundantRefresh covering all 7 dimensions instead of focusing on changesLead with "What changed?" per dimension; skip unchanged areas quickly; target 15 minutes total
Multiple founders give conflicting contextDifferent perspectives on stage, challenges, or prioritiesNote the conflict explicitly in context file; mark which founder provided which data; flag for resolution
Context file modified without founder approvalAI agent or team member updated context silentlyEnforce "never silently modify" rule; require explicit founder confirmation before any context update

Success Criteria

  • Context completeness score reaches 7/7 dimensions within first session or first follow-up
  • Context freshness maintained at "Fresh" (< 90 days old) through quarterly refresh protocol
  • Advisory skills produce company-specific (not generic) recommendations when context is loaded
  • Founder reports that AI advisory conversations feel "like talking to someone who knows my business"
  • Time to complete full onboarding interview under 45 minutes
  • Time to complete quarterly refresh under 15 minutes
  • Zero instances of context file modified without founder approval

Scope & Limitations

In scope: Structured founder interview across 7 dimensions (identity, stage, founder profile, team/culture, market/competition, challenges, goals), context file generation and maintenance, quarterly refresh protocol, context quality scoring (completeness and freshness), context enrichment during advisory sessions, privacy rules for external data handling, and missing context graceful handling.

Out of scope: Company financial modeling (use cfo-advisor), competitive intelligence gathering (use competitive-intel), team assessment or 360 reviews (use hr-operations/), product analytics (use cpo-advisor), and automated context capture from external data sources. This skill captures context through conversation, not data integration.

Limitations: Context quality depends entirely on founder candor; evasive or aspirational answers reduce advisory effectiveness. Single-founder interviews may miss co-founder perspectives. Context is a point-in-time snapshot; rapid company changes (pivot, reorg, fundraise) can make context stale before the 90-day refresh. Privacy rules prevent sharing specific context externally, which limits integration with external tools.


Integration Points

  • ceo-advisor -- Strategic recommendations calibrated to company stage, challenges, and founder archetype
  • cfo-advisor -- Financial guidance calibrated to runway, revenue range, and growth stage
  • cto-advisor -- Technical strategy calibrated to team size, architecture maturity, and founder technical depth
  • coo-advisor -- Operations advice calibrated to scale, process maturity, and headcount
  • cmo-advisor -- Marketing strategy calibrated to stage, market position, and competitive landscape
  • internal-narrative -- Narrative construction uses company identity, values, and founder voice from context
  • scenario-war-room -- Risk variables calibrated to actual competitive threats and company vulnerabilities

© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in c-level-advisor/cs-onboard of borghei/Claude-Skills.

Open the folder on GitHubat commit 4a698e8

Compare with similar skills

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Questions about Cs Onboard

What does Cs Onboard do?

Structured C-suite onboarding via a founder interview that captures company context into a persistent file used by all advisory skills. Cs Onboard is an agent skill from borghei/Claude-Skills. Structured C-suite onboarding via a founder interview that captures company context into a persistent file used by all advisory skills.

When should I use Cs Onboard?

Cs Onboard fits situations like: setting up advisory context; refreshing stale context; onboarding a new executive.

How do I install Cs Onboard in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill cs-onboard -a claude-code`. Or copy the skill folder (c-level-advisor/cs-onboard in borghei/Claude-Skills) into .claude/skills/cs-onboard in your project. Claude Code loads it when a task matches its description.

How do I install Cs Onboard in Codex?

Run `npx skills add borghei/Claude-Skills --skill cs-onboard -a codex`. Or copy the skill folder (c-level-advisor/cs-onboard in borghei/Claude-Skills) into .agents/skills/cs-onboard in your project. Codex loads it when a task matches its description.

Can I use Cs Onboard in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill cs-onboard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cs-onboard, .gemini/skills/cs-onboard, .github/skills/cs-onboard and .opencode/skills/cs-onboard in your project.

What does Cs Onboard need to run?

SKILL.md names no scripts, command-line tools or credentials: Cs Onboard is instructions for the agent only.

Does Cs Onboard access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cs Onboard safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cs Onboard use?

Cs Onboard is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cs Onboard use?

About 4.8k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cs Onboard?

Skills that share tags, products or a category with Cs Onboard: Idea Refinement (addyosmani/agent-skills, 103k stars), HTML PPT Studio (lewislulu/html-ppt-skill, 8.6k stars), Agent Browser (quran/quran.com-frontend-next, 1.9k stars) and Process Inbox (telegramdesktop/tdesktop, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cs Onboard?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 881 GitHub stars. The repository holds 349 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.