brand
Skill1 starsChanged 17 days agoMITView on GitHub
Client and brand lifecycle engine: comprehensive brand intake, autonomous web research, sales pipeline qualification, ad and payment account access, cross-department brief synthesis, cross-border e-commerce operations, offboarding, brand asset fencing/font auditing, and multimodal story engine genesis — routed through eleven modes. Use when onboarding a new client or brand, scraping brand assets and web signals, qualifying sales leads, gathering ad account and payment credentials, synthesizing cross-department briefs, scaling cross-border e-commerce, generating brand narrative archetypes and OKLCH story matrices, auditing brand asset fencing and font licenses, offboarding an account, or auditing brand readiness checklists. Not for designing brand marks (design) or negotiating contracts (ops).
We split this skill into the rules it gives an agent
6 rules. 0 are common, 4 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 17 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 38
Every invocation resolves to exactly one mode.
- Distinctive: line 53
Only the resolved mode's reference is loaded — the rest stay on disk, saving tokens on every run.
- Very specific: line 98
Brand Readiness Gate (
audit): Run the 50-checkpoint Brand Readiness Audit. - Distinctive: line 105
Accepting Raw Passwords / Secrets: Never ask clients to paste passwords or API keys into chat or docs.
- Distinctive: line 106
Assumed Brand Truth: Don't rely solely on what the client says.
- Very specific: line 107
Unclear Downstream Handoffs: Avoid handing raw, rambling call notes to design or webdev.
“Common” is measured: kept by at least 6 in 10 of the 17 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
🏷️ brand — Client & Brand Lifecycle Department
One unified department for client and brand lifecycle management. Every agency engagement begins and ends here. It drives end-to-end sales pipeline progression, conducts comprehensive brand discovery and autonomous web intelligence, audits ad account and payment access, translates raw brand truth into tailored cross-department briefs (design, webdev, content, paidads, qa-launch), audits brand readiness with interactive clarification questions, and governs graceful offboarding.
Modes
Every invocation resolves to exactly one mode. Match the request, then load only the matched reference:
| Mode | Trigger phrases | Behavior | Reference |
| intake | "onboard client", "brand intake", "client questionnaire", "brand discovery" | Comprehensive brand intake discovery with automatic missing-field question prompts | references/intake.md |
| research | "scrape brand", "brand research", "competitor intelligence", "web audit" | Autonomous web scraping, social footprint harvesting, and competitive positioning | references/research.md |
| pipeline | "sales pipeline", "qualify lead", "BANT qualification", "sales discovery" | Full agency sales pipeline: Lead Gen → Discovery/Qualification → Proposal → SOW Handover | references/pipeline.md |
| accounts-access | "account access", "client creds", "login credentials", "ad account setup", "payment credentials", "2fa setup" | 5-stage client credentials and logins intake workflow: discovery, zero-leak delegation dispatch, 2FA handshake, permission audit, and vault logging | references/accounts-access.md |
| brief | "brand brief", "client brief", "cross-department brief", "brand dossier" | Synthesizes master Single Source of Truth Brand Dossier for downstream delivery heads | references/brief.md |
| ecommerce | "cross-border ecommerce", "amazon listing", "shopee store", "tiktok shop", "global ecommerce", "international logistics", "fba", "vat compliance" | Multi-platform cross-border e-commerce operations: Amazon, Shopee, Lazada, Temu, TikTok Shop, international logistics/warehousing, VAT/EPR compliance, multilingual listing optimization, and unit economics modeling | references/ecommerce.md |
| offboard | "offboard client", "client offboarding", "revoke access", "project handover" | Access revocation, asset export packaging, DNS handover, and client NPS reviews | references/offboard.md |
| assets | "brand assets", "font licensing", "vector logo check", "brand asset fencing", "color contrast certification", "asset audit" | Brand asset fencing, font license isolation, SVG sanitization, and OKLCH color contrast certification | references/assets.md |
| story-engine | "brand genesis", "story engine", "founder story", "brand narrative", "brand archetype", "voice constitution" | Multimodal brand narrative genesis, founder archetype synthesis, OKLCH visual color resonance, tagline matrix, and voice constitution | references/story-engine.md |
| audit | "brand audit", "readiness check", "intake checklist", "missing brand info" | Pre-flight brand readiness gate auditing completeness before teams begin work | references/audit.md |
Only the resolved mode's reference is loaded — the rest stay on disk, saving tokens on every run.
Support references (load on topic)
Loadable by topic; also routable as /brand-<file> commands (not separate routed modes):
- persona.md
When to Use
- Onboarding a new agency client or launching a new internal or external brand.
- Conducting web scraping, social research, and competitive intelligence on a brand.
- Qualifying inbound and outbound sales leads using BANT / MEDDIC frameworks.
- Collecting and auditing ad account permissions (Meta, Google, TikTok), analytics (GA4, GTM), hosting, and payment gateways under strict zero-leak protocols.
- Generating tailored cross-department briefs for
design,webdev,content,paidads, andqa-launch. - Auditing brand readiness and automatically asking clarifying questions when critical details are missing.
- Auditing incoming brand assets, isolating font licenses, and certifying OKLCH color contrast.
- Executing a clean, professional client offboarding and asset handover.
Quick Reference
| Mode | Primary Input | Primary Output | Gate / SLA |
intake | Client questionnaire or discovery call notes | Structured Brand Intake Document (brand-intake.md) | Zero unverified core claims |
research | Brand URL, social handles, competitor names | Web Intelligence & Market Dossier (brand-intelligence.md) | Primary sources cited |
pipeline | Lead profile, initial budget, timeline | Qualified Opportunity Record & Proposal Blueprint | BANT / MEDDIC scored |
accounts-access | Platform asset IDs, delegation requests | Verified Access Inventory & Delegation Table | Zero raw secrets exposed |
brief | Completed intake & research data | Tailored Departmental Briefs (.agents/context/brand.md) | 100% downstream parity |
offboard | Finished project SOW, termination notice | Offboarding Certificate & Revocation Log | 48h access revoking |
audit | Brand dossier drafts & asset links | Readiness Scorecard (Block / Ready to Build) | $\ge 90%$ completeness |
Procedure
- Pipeline & Qualification (
pipeline): Receive lead, assess ICP fit, run BANT/MEDDIC qualification, and draft initial scope proposal before contracts. - Deep Brand Intake (
intake): Conduct comprehensive intake across business model, target audience, brand pillars, core offers, and visual preferences. Detect missing fields and trigger interactive clarification questions. - Autonomous Web Scraping & Research (
research): Scrape public website, social profiles, customer reviews (G2/Trustpilot), meta tags, schema markup, and competitor positioning. - Access & Delegation Vault (
accounts-access): Send platform-native delegation guides (Partner Access on Meta Business Manager, Manager Account on Google Ads, Organization access on Stripe/GA4). Never accept raw passwords. - Master Brief Synthesis (
brief): Compile the canonical Brand Dossier (.agents/context/brand.md) and carve out specific departmental sub-briefs fordesign,webdev,content,paidads, andqa-launch. - Brand Readiness Gate (
audit): Run the 50-checkpoint Brand Readiness Audit. If any critical parameter is missing, generate targeted clarification questions and block unverified downstream execution. - Clean Offboarding (
offboard): Upon project completion, execute the access revocation protocol, export all production assets, deliver documentation, and request a structured review.
Pitfalls
- Accepting Raw Passwords / Secrets: Never ask clients to paste passwords or API keys into chat or docs. Always use native delegation (Meta Business Manager Partner IDs, Google Ads Manager link, GTM User Invitations).
- Assumed Brand Truth: Don't rely solely on what the client says; scrape the actual live website and customer reviews to identify perception gaps.
- Unclear Downstream Handoffs: Avoid handing raw, rambling call notes to
designorwebdev. Always synthesize into the structured Department Brief schema. - Skipping the Readiness Gate: Starting design or development with incomplete brand assets leads to costly rework and scope creep. Halt until the audit passes $\ge 90%$.
Verification
- All 7 mode reference files exist and are syntactically valid in
references/. - Frontmatter conforms to Hermes, OpenClaw, and RFC specifications.
- Automated intake audit script (
scripts/intake-audit.ts) executes and scores brand completeness. - Vibeguard zero-credential leak protocol strictly maintained across all account-access guides.
Other versions61 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 61
- nextlevelbuilder/ui-ux-pro-max-skill★ 144ksame name
- joye61/pic-smaller★ 2.9ksame name
- Ohh-889/skyroc-admin★ 795same name
- cdavid817/vanehub-ai★ 116same name
- cofoundy/brand-skills★ 67same name
- saksham10arora-dotcom/everything-claude-codex★ 24same name
- b1rdmania/claude-brand-skills★ 20same name
- rylsherdamz-rgb/stellar-forge★ 17same name
- LeorickCoder/awesome-codex-skills★ 9same name
- ammdevl/vibe-match★ 8same name
51 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use stop-slop, image-to-code and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
hardikpandyaSkillstop-slop
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
Also in 4 projects that use this
OpenAISkillimage-to-code
Implement a selected image, screenshot, mockup, or Image Gen reference as a faithful, responsive frontend.
Also in 5 projects that use this
AnasX7Skillbrandkit
Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.
Also in 5 projects that use this
AnasX7Skillminimalist-ui
Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.
Also in 5 projects that use this
HK-hubSkillstitch-design-taste
Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.
Also in 4 projects that use this
MicrosoftSkillreport
Turn an exploration (threads, findings, charts) into a single Markdown report — note, blog post, executive summary, KPI dashboard, slide brief, or multi-section analytical report, with embedded charts.
Also in 3 projects that use this
- +4 more from AnasX7
In this repository49 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- llms.txtllms.txt
- accountsSkill
- analyticsSkill
- automationSkill
- client-commsSkill
- contentSkill
- crmSkill
- databaseSkill
- designSkill
- devopsSkill
- growthSkill
- gtmSkill
- incident-responseSkill
- mobileSkill
- opsSkill
- paidadsSkill
- qa-launchSkill
- researchSkill
- retainSkill
- sales-enablementSkill
- seoSkill
- smmSkill
- telegramSkill
- webdevSkill
- context-anchorSkill
- coupling-routerSkill
- evidence-ledgerSkill
- relaySkill
- secretarySkill
- gitSkill
- new-projectSkill
- updateagentsSkill
- updatedocsSkill
- animateSkill
- designscopeSkill
- refactorSkill
- auditSkill
- code-reviewSkill
- dead-letterSkill
- gauntlet-loopSkill
- humanizeSkill
- muse-securitySkill
- puaSkill
- clean-system-cacheSkill
- coachSkill
- periodic-retreatSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

