Brand Kit
cognyai/claude-code-marketing-skills
Build a portable brand-kit.json for the user's product — colors, typography, voice — that other skills (video, ad creative, landing page) can consume.
A skill your agent uses when marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking, delivery, creative, landing page, offer, and audience quality…
Install 03 Performance Eval Global
$ npx skills add minhnv0807/ai-business-skills --skill 03-performance-eval-global -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install minhnv0807/ai-business-skills 03-performance-eval-global --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/en/03-performance-eval-global .claude/skills/03-performance-eval-global && rm -rf skills-srcUse ~/.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/
Install the "03-performance-eval-global" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/03-performance-eval-global into .claude/skills/03-performance-eval-global/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "03-performance-eval-global", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/03-performance-eval-globalType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add minhnv0807/ai-business-skills --skill 03-performance-eval-global -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install minhnv0807/ai-business-skills 03-performance-eval-global --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/en/03-performance-eval-global .agents/skills/03-performance-eval-global && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "03-performance-eval-global" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/03-performance-eval-global into .agents/skills/03-performance-eval-global/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "03-performance-eval-global", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add minhnv0807/ai-business-skills --skill 03-performance-eval-global -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install minhnv0807/ai-business-skills 03-performance-eval-global --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/en/03-performance-eval-global .cursor/skills/03-performance-eval-global && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "03-performance-eval-global" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/03-performance-eval-global into .cursor/skills/03-performance-eval-global/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "03-performance-eval-global", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/minhnv0807/ai-business-skills.git --path skills/en/03-performance-eval-global--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add minhnv0807/ai-business-skills --skill 03-performance-eval-global -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install minhnv0807/ai-business-skills 03-performance-eval-global --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/en/03-performance-eval-global .gemini/skills/03-performance-eval-global && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "03-performance-eval-global" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/03-performance-eval-global into .gemini/skills/03-performance-eval-global/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "03-performance-eval-global", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install minhnv0807/ai-business-skills 03-performance-eval-globalInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add minhnv0807/ai-business-skills --skill 03-performance-eval-global -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/en/03-performance-eval-global .github/skills/03-performance-eval-global && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "03-performance-eval-global" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/03-performance-eval-global into .github/skills/03-performance-eval-global/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "03-performance-eval-global", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add minhnv0807/ai-business-skills --skill 03-performance-eval-global -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install minhnv0807/ai-business-skills 03-performance-eval-global --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/en/03-performance-eval-global .opencode/skills/03-performance-eval-global && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "03-performance-eval-global" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/03-performance-eval-global into .opencode/skills/03-performance-eval-global/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "03-performance-eval-global", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
03-performance-eval-global- GitHub stars
- 610
- Token cost
- ~3.5k tokens
- SKILL.md length
- 1,291 words
- Files
- 5
- Skills in repo
- 142
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking, delivery, creative, landing page, offer, and audience quality…
- Works in 7 steps: Performance evaluation = a structured… → You don't need everything perfect to… → The order matters: measure first,… → …
- Marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking
- SKILL.md covers For newbies — Read this first, Step 0 — Read context + select…, Universal diagnosis framework and Decision tree — which variant…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
03 Performance Eval Global is an agent skill from minhnv0807/ai-business-skills. Use when marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking, delivery, creative, landing page, offer, and audience quality, 5-Whys, regional benchmarks for US, EU, SEA, and LATAM, and a 48-hour action plan. Covers dropshipping ROAS and BE-ROAS. Trigger on 'why is CPA so high', 'my ads are not converting', 'ROAS dropped', 'we are burning budget', 'performance is bad this month', 'diagnose the funnel'. Also use when the user pastes a screenshot of numbers with…
Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `variants/01-us.md`, `variants/02-eu.md` and `variants/03-sea.md`).
It sits in Marketing & SEO, covering Paid advertising, Root cause analysis and E-commerce operations. It works with Model Context Protocol. The repository describes itself as: 138 bilingual AI marketing skills (69 VN + 69 Global) for Claude Code, OpenCode, Codex, VS Code. Four role SOP packs — content, design, performance, leader ops — plus strategy… The licence is MIT.
When your agent uses it
- Marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking
- Audience quality
- Regional benchmarks for US
- A 48-hour action plan
Example prompts
- “why is CPA so high”
- “my ads are not converting”
- “ROAS dropped”
- “/03-performance-eval-global”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Performance evaluation = a structured health check of your marketing. You collect numbers, compare against benchmarks, find the gap, and…
- You don't need everything perfect to start. Even rough data (last 30 days spend + leads + revenue) is enough for a first pass.
- The order matters: measure first, diagnose second, fix third. Don't jump to "let's redo creative" before checking why CTR dropped.
- Benchmarks are regional. A $10 CPM in the US is normal; in SEA it's expensive. Always pick the right region variant.
- One metric at a time. Don't try to fix CPM, CTR, CPL, ROAS simultaneously — pick the bottleneck and fix that first.
- The 5-Whys method works. Ask "why?" five times until you hit a root cause that's actionable (process, system, or skill gap — not a symptom).
- Health Score 0-100 gives you a single number to track. Below 60 = stop scaling, fix first. Above 75 = safe to optimize and grow.
What it can do on your machine
Read from SKILL.md and the folder at commit 0360adc. 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.
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
03 Performance Eval Global loads about 3.5k tokens when it runs. Until then it costs about 198 tokens; SKILL.md has 1,291 words of instructions outside code blocks.
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 minhnv0807/ai-business-skills at commit 0360adc, republished under its MIT licence (© minhnv0807). 1,291 words, ~3,473 tokens.
Download SKILL.mdSave it as
.claude/skills/03-performance-eval-global/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- 03-performance-eval-global
- description
- Use when marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking, delivery, creative, landing page, offer, and audience quality, 5-Whys, regional benchmarks for US, EU, SEA, and LATAM, and a 48-hour action plan. Covers dropshipping ROAS and BE-ROAS. Trigger on 'why is CPA so high', 'my ads are not converting', 'ROAS dropped', 'we are burning budget', 'performance is bad this month', 'diagnose the funnel'. Also use when the user pastes a screenshot of numbers with no question attached. Not for — auditing account configuration and scoring health, see `21-ads-audit-global`; writing a report someone else reads, see `07-marketing-report-global`; turning a raw export into insight, see `13-data-analysis-global`.
- metadata.version
- 1.0.1
- metadata.category
- performance
- license
- MIT
- triggers
- performance review, ad performance, marketing diagnosis, KPI analysis, dropshipping ROAS
- related
- product-marketing-context-global, 07-marketing-report-global, 10-reverse-kpi-global, 13-data-analysis-global, 21-ads-audit-global…
Performance Evaluation (Global)
Diagnose marketing performance — paid ads, organic, funnel — find root cause, propose optimization with 48h action plan and weekly checklist. Region variants (US/EU/SEA/LATAM) provide localized benchmarks.
For newbies — Read this first
If you've never done a performance review:
- Performance evaluation = a structured health check of your marketing. You collect numbers, compare against benchmarks, find the gap, and propose fixes.
- You don't need everything perfect to start. Even rough data (last 30 days spend + leads + revenue) is enough for a first pass.
- The order matters: measure first, diagnose second, fix third. Don't jump to "let's redo creative" before checking why CTR dropped.
- Benchmarks are regional. A $10 CPM in the US is normal; in SEA it's expensive. Always pick the right region variant.
- One metric at a time. Don't try to fix CPM, CTR, CPL, ROAS simultaneously — pick the bottleneck and fix that first.
- The 5-Whys method works. Ask "why?" five times until you hit a root cause that's actionable (process, system, or skill gap — not a symptom).
- Health Score 0-100 gives you a single number to track. Below 60 = stop scaling, fix first. Above 75 = safe to optimize and grow.
Step 0 — Read context + select region variant
Before diagnosis:
- Read
.agents/product-marketing-context-global.md— get product, audience, region, currency, current channels. - Pick the region variant:
variants/01-us.md— North America (USD)variants/02-eu.md— Europe (EUR/GBP, GDPR-aware)variants/03-sea.md— Southeast Asia (USD/local, low CPM)variants/04-latam.md— Latin America (USD/BRL/MXN, WhatsApp-first)
- Auto-pull data if MCP integrations are connected (Meta Official MCP, Google Ads MCP, TikTok Ads MCP, Pipeboard).
Information gathering
Ask user up to 4 questions:
- Which channel(s) to audit? Meta / Google / TikTok / LinkedIn / email / organic / all?
- Current numbers? Spend, impressions, clicks, CTR, CPM, CPC, leads, CPL, conversions, CPA, ROAS, time period.
- What's the issue? CPM rising / ROAS dropping / lead quality poor / no orders / creative fatigue?
- Original target KPI? What was the goal — CPL, CPA, ROAS, monthly leads/orders?
Auto-pull via MCP (if connected)
| Platform | MCP recommended | Data pulled |
|---|---|---|
| Meta Ads | Meta Official MCP (mcp.facebook.com/ads) | 29 tools — performance, anomalies, benchmarks |
| Meta Ads (alt) | Pipeboard, brijr/meta-mcp | Targeting research, ad library |
| Google Ads | Google Official MCP | GAQL — cost, clicks, conv, impression share |
| TikTok Ads | AdsMCP/tiktok-ads-mcp-server | Campaign performance reports |
| Cross-platform | Adspirer ads-mcp | 175+ tools, unified metrics |
Quick MCP diagnostic flow:
1. ads_insights_performance_trend → trending down?
2. ads_insights_anomaly_signal → which KPI is abnormal?
3. ads_insights_industry_benchmark → vs. industry?
4. ads_get_opportunity_score → what does Meta suggest?
→ Feed into Benchmark Table + Diagnostic TreeUniversal diagnosis framework
Part 0 — Ads Health Score (0-100)
Health Score = Σ(Check_pass × W_severity × W_category) / Σ(Check_total × W_severity × W_category) × 100| Severity | Weight | Example checkpoints |
|---|---|---|
| Critical | 5× | Pixel not firing, CAPI not setup, CPA > 3× target |
| High | 3× | Creative similarity > 60%, budget < 5× CPA/day |
| Medium | 1.5× | No retargeting audience, headline > 40 chars |
| Low | 0.5× | Naming convention not followed |
| Score | Grade | Action |
|---|---|---|
| 90–100 | A | Excellent — focus on scaling |
| 75–89 | B | Good — fix Medium, scale gently |
| 60–74 | C | Average — fix High before scaling |
| 40–59 | D | Poor — fix Critical + High first |
| <40 | F | Danger — pause, full audit, rebuild |
Part 1 — Diagnostic decision tree
[CPM HIGH]
|-- CTR low (<1%)?
| |-- Weak hook → rewrite first 3s
| |-- Wrong targeting → narrow/expand audience
| |-- Stale creative (>7d) → make new creative
|
|-- CTR normal (1–3%) but CPM still high?
| |-- Auction peak → reduce budget, shift schedule
| |-- Audience too small → expand, test new LAL
| |-- Bid too high → switch to lowest cost
|
|-- CTR high (>3%) but CPM high?
|-- Landing page/inbox not converting → fix LP
|-- Unclear CTA → rewrite CTA[ROAS LOW (<2x)]
|-- CPM ok but few conversions?
| |-- Funnel leak → check each step
| |-- Slow sales response → improve speed, script
| |-- Wrong offer/price → review offer
|
|-- High CPM + few conversions?
| |-- Loop back to CPM tree
|
|-- Many orders but low AOV?
|-- Weak cross-sell/upsell → bundles, larger packages
|-- Bargain hunters → tighten targeting[POOR LEAD QUALITY]
|-- Many messages but few qualified leads?
| |-- Targeting too broad → narrow with LAL of best customers
| |-- Wrong-fit content → adjust hook + CTA
| |-- Value prop unclear → educate before CTA
|
|-- Qualified leads but no booking?
| |-- Slow follow-up (>2h) → respond within 15 min
| |-- Weak close script → rewrite, train sales
| |-- Price too high → bundle, financing, trial
|
|-- Booking but no-show?
|-- No reminder → auto-remind 24h + 2h before
|-- Trust gap → nurture more before booking
|-- Decision fatigue → simplify booking flowPart 2 — Root Cause Analysis (5 Whys)
Ask "Why?" 5 times until you reach a process/system/skill root cause:
| Round | Why? | Answer |
|---|---|---|
| 1 | Why did CPM rise? | CTR dropped from 2.5% → 1.1% |
| 2 | Why did CTR drop? | Creative ran 12 days, audience saturation |
| 3 | Why did creative run so long? | No creative refresh schedule |
| 4 | Why no schedule? | No SOP for periodic creative review |
| 5 | Why no SOP? | No creative rotation process defined |
Root cause: Missing SOP for creative rotation Solution: Lock in 3-5 new creatives/week, review every 3-5 days
Part 3 — Creative fatigue indicators
| Indicator | Warning | Danger | Action |
|---|---|---|---|
| Frequency | >2.5 | >4 | Refresh creative, expand audience |
| CTR decline | -20% vs first 3 days | -40% | New creative |
| CPA increase | +25% vs first 3 days | +50% | Pause, test new |
| Run time | >7 days | >14 days | Mandatory refresh |
| Engagement decline | -30% comments/shares | -50% | Switch angle |
| Negative feedback | >3% | >5% | Pause immediately |
Part 4 — Audience saturation indicators
| Metric | Healthy | Warning | Action |
|---|---|---|---|
| Audience overlap (between ad sets) | <20% | >30% | Merge or exclude |
| Frequency | <2.5 | >4 | Expand audience, new creative |
| Reach vs audience size | <50% | >70% | Audience too small, expand |
| Cost per incremental result | Stable | +30% | Saturated — find new audience |
| % new users in clicks | >60% | <40% | Re-showing to existing — refresh |
Decision tree — which variant to use
Use the variant that matches your ad account billing region, NOT just where the user is located:
| Region | Variant | When to use |
|---|---|---|
| United States, Canada | 01-us.md | Account billed in USD, US/CA traffic |
| UK, EU, EEA | 02-eu.md | Account billed in EUR/GBP, GDPR consent stack |
| SEA (Vietnam, Thailand, Indonesia, Philippines, Malaysia, Singapore) | 03-sea.md | Lower CPM, mobile-first, super-app context |
| LATAM (Brazil, Mexico, Colombia, Argentina, Chile) | 04-latam.md | WhatsApp-dominant, low CPM, FX volatility |
If running multi-region: load multiple variants, compare benchmarks side-by-side, set per-region targets.
Dropshipping KPI section
Dropshipping has different success criteria than typical service/B2B marketing. Use this layer when product is sourced from suppliers (AliExpress, CJ, Zendrop) and shipped directly to customer.
Show full SKILL.md (503 more words)Show less
Core KPIs
| KPI | Formula | Healthy target |
|---|---|---|
| ROAS | Revenue / Ad spend | 2.5–3x minimum, 4x+ ideal |
| BE-ROAS (Break-even ROAS) | 1 / Profit margin | If margin = 30%, BE-ROAS = 3.33x |
| Profit margin | (Revenue − COGS − Shipping − Fees − Ad spend) / Revenue | 20%+ healthy, 25%+ ideal |
| CAC (Customer Acquisition Cost) | Ad spend / Customers acquired | < AOV × Profit margin |
| CPA (Cost Per Add-to-cart / Purchase) | Ad spend / Conversions | <30% of AOV |
| AOV (Average Order Value) | Revenue / Orders | Higher AOV = lower BE-ROAS pressure |
BE-ROAS formula
BE-ROAS = 1 / Profit margin
Examples:
Margin 20% → BE-ROAS = 5.0x (you need 5x ROAS just to break even)
Margin 25% → BE-ROAS = 4.0x
Margin 30% → BE-ROAS = 3.33x
Margin 35% → BE-ROAS = 2.86x
Margin 40% → BE-ROAS = 2.5x
Margin 50% → BE-ROAS = 2.0xBelow BE-ROAS = losing money on every order. 1.2× BE-ROAS = healthy growth zone. 2× BE-ROAS = scale aggressively.
Dropshipping diagnostic flags
| Flag | Threshold | Action |
|---|---|---|
| ROAS < BE-ROAS for 7 days | Always losing | Pause, redo product/creative |
| Profit margin < 20% | Too thin | Raise price OR find cheaper supplier |
| Refund rate > 5% | Too high | Audit product quality + ad claims |
| Chargeback rate > 1% | Critical | Review CB reasons, may risk Stripe ban |
| Shipping time > 18 days | Long | Switch to faster supplier or warehouse stock |
| Cart abandon > 75% | Too high | Audit checkout (shipping cost reveal, slow load) |
When to scale dropshipping
| Signal | Threshold | Decision |
|---|---|---|
| ROAS sustained > 2× BE-ROAS | 7+ consecutive days | Scale +20% per cycle |
| 30+ purchases at target CPA | Within ad set | CBO scaling allowed |
| Profit margin stable > 25% | 14+ days | Open new market |
| Email/SMS list > 1000 | Reached | Add retention campaigns |
See skill
29-dropshipping-mastery-globalfor full dropshipping playbook.
48-hour action plan template
Apply when CRITICAL issue detected:
| # | Time | Action | Severity | Expected outcome |
|---|---|---|---|---|
| 1 | 0–2h | Pause creatives/ad sets with CPA > 2x target | CRITICAL | Stop bleeding spend |
| 2 | 2–4h | Deep-dive data: which creative, audience, time slot | CRITICAL | Identify root cause |
| 3 | 4–8h | Duplicate winning ad set, test new creatives | HIGH | New creative live |
| 4 | 8–12h | Adjust audience: exclude overlap, test new LAL | HIGH | Reduce frequency |
| 5 | 12–24h | A/B test 3 new hooks for top creative | HIGH | Find better hook |
| 6 | 12–24h | Review landing page / inbox flow | MEDIUM | Fix funnel leak |
| 7 | 24–36h | Compare new vs. old performance | MEDIUM | Decide next step |
| 8 | 36–48h | Report + propose week-2 plan | MEDIUM | Concrete plan |
Weekly optimization checklist
| Day | Focus |
|---|---|
| Mon | Compare WoW KPIs, identify top/bottom 3 creatives, check frequency + audience overlap |
| Tue | Make 3-5 new creatives, test new hook, review UGC pipeline + organic |
| Wed | Optimize bid/budget on winners, pause CPA > 2x target, test new audiences |
| Thu | Check Mess→Lead, Lead→Booking, response time, sales script |
| Fri | WoW table, top 3 priorities for next week, content calendar update |
Cross-reference
| Need | Skill |
|---|---|
| Full audit with 84 checkpoints | 21-ads-audit-global |
| Monthly report | 07-marketing-report-global |
| Recompute budget from revenue target | 10-reverse-kpi-global |
| New ad copy with frameworks | 05-ad-copy-global |
| New video script | 04-script-video-global |
| Replan from scratch | 00-marketing-plan-global |
| Dropshipping-specific playbook | 29-dropshipping-mastery-global |
Quality checklist
Before delivering evaluation:
- Region variant loaded — benchmarks match user's market
- Health Score estimated (if data sufficient) — <60 means fix first
- User data filled into benchmark tables
- Diagnostic decision tree run — root cause named
- 5 Whys done — process/system root cause, not symptom
- Creative fatigue + audience saturation checked
- WoW + MoM trend analysis included
- 48h action plan has time, owner, expected outcome
- Top 3 priorities with deadlines
- If dropshipping: BE-ROAS calculated, profit margin verified
- All numbers verifiable — no vague estimates
- Recommendations realistic for user's resources
© minhnv0807, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files in skills/en/03-performance-eval-global of minhnv0807/ai-business-skills.
- SKILL.md
- variants/01-us.md
- variants/02-eu.md
- variants/03-sea.md
- variants/04-latam.md
Open the folder on GitHubat commit 0360adc
Compare with similar skills
03 Performance Eval Global next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| 03 Performance Eval Global this skillminhnv0807/ai-business-skills | 610 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Brand Kitcognyai/claude-code-marketing-skills | 104 | — | ~3.4k | Automated safety check: Notes | None | |
| Google Ads Landing ReviewTheMattBerman/google-ads-copilot | 238 | — | ~4.1k | Automated safety check: Pass | MIT | |
| Sif Amazon Researchliangdabiao/amazon-sorftime-research-MCP-skill | 953 | — | ~1k | Automated safety check: Pass | None | |
| Google Ads Landing Page Auditnowork-studio/notfair-plugin | 3.9k | — | ~306 | Automated safety check: Pass | MIT | |
| Find SEO Agencyjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~3.6k | Automated safety check: Notes | MIT |
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Plans honest participation in outside communities such as Reddit, Discord and Facebook Groups, with a rules-based community list, roster, posts, replies and calendar.
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Related
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Questions about 03 Performance Eval Global
What does 03 Performance Eval Global do?
A skill your agent uses when marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking, delivery, creative, landing page, offer, and audience quality…. 03 Performance Eval Global is an agent skill from minhnv0807/ai-business-skills. Use when marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking, delivery, creative, landing page, offer, and audience quality, 5-Whys, regional benchmarks for US, EU, SEA, and LATAM, and a 48-hour action plan.
When should I use 03 Performance Eval Global?
03 Performance Eval Global fits situations like: marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking; audience quality; regional benchmarks for US; A 48-hour action plan.
How do I install 03 Performance Eval Global in Claude Code?
Run `npx skills add minhnv0807/ai-business-skills --skill 03-performance-eval-global -a claude-code`. Or copy the skill folder (skills/en/03-performance-eval-global in minhnv0807/ai-business-skills) into .claude/skills/03-performance-eval-global in your project. Claude Code loads it when a task matches its description.
How do I install 03 Performance Eval Global in Codex?
Run `npx skills add minhnv0807/ai-business-skills --skill 03-performance-eval-global -a codex`. Or copy the skill folder (skills/en/03-performance-eval-global in minhnv0807/ai-business-skills) into .agents/skills/03-performance-eval-global in your project. Codex loads it when a task matches its description.
Can I use 03 Performance Eval Global 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 minhnv0807/ai-business-skills --skill 03-performance-eval-global -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/03-performance-eval-global, .gemini/skills/03-performance-eval-global, .github/skills/03-performance-eval-global and .opencode/skills/03-performance-eval-global in your project.
What does 03 Performance Eval Global need to run?
SKILL.md names no scripts, command-line tools or credentials: 03 Performance Eval Global is instructions for the agent only.
Does 03 Performance Eval Global 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 03 Performance Eval Global 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 03 Performance Eval Global use?
03 Performance Eval Global 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 03 Performance Eval Global use?
About 3.5k tokens (SKILL.md is roughly 14k 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 03 Performance Eval Global?
Skills that share tags, products or a category with 03 Performance Eval Global: Brand Kit (cognyai/claude-code-marketing-skills, 104 stars), Google Ads Landing Review (TheMattBerman/google-ads-copilot, 238 stars), Sif Amazon Research (liangdabiao/amazon-sorftime-research-MCP-skill, 953 stars) and Google Ads Landing Page Audit (nowork-studio/notfair-plugin, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains 03 Performance Eval Global?
minhnv0807 (a GitHub user) maintains it in minhnv0807/ai-business-skills, which has 610 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on September 12, 2026.
Source: minhnv0807/ai-business-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.