Olore Meta Pixel Latest
olorehq/olore
Local meta-pixel documentation reference (latest). An agent skill from olorehq/olore.
Guides DPIA for marketing profiling, behavioural targeting, cross-device tracking, and advertising analytics.
Install Marketing Analytics Dpia
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill marketing-analytics-dpia -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills marketing-analytics-dpia --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/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/privacy/marketing-analytics-dpia .claude/skills/marketing-analytics-dpia && 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 "marketing-analytics-dpia" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/marketing-analytics-dpia into .claude/skills/marketing-analytics-dpia/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketing-analytics-dpia", 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/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/marketing-analytics-dpiaType 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 mukul975/Privacy-Data-Protection-Skills --skill marketing-analytics-dpia -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills marketing-analytics-dpia --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/privacy/marketing-analytics-dpia .agents/skills/marketing-analytics-dpia && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "marketing-analytics-dpia" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/marketing-analytics-dpia into .agents/skills/marketing-analytics-dpia/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketing-analytics-dpia", 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 mukul975/Privacy-Data-Protection-Skills --skill marketing-analytics-dpia -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills marketing-analytics-dpia --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/privacy/marketing-analytics-dpia .cursor/skills/marketing-analytics-dpia && 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 "marketing-analytics-dpia" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/marketing-analytics-dpia into .cursor/skills/marketing-analytics-dpia/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketing-analytics-dpia", 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/mukul975/Privacy-Data-Protection-Skills.git --path skills/privacy/marketing-analytics-dpia--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 mukul975/Privacy-Data-Protection-Skills --skill marketing-analytics-dpia -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills marketing-analytics-dpia --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/privacy/marketing-analytics-dpia .gemini/skills/marketing-analytics-dpia && 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 "marketing-analytics-dpia" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/marketing-analytics-dpia into .gemini/skills/marketing-analytics-dpia/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketing-analytics-dpia", 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 mukul975/Privacy-Data-Protection-Skills marketing-analytics-dpiaInstalls 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 mukul975/Privacy-Data-Protection-Skills --skill marketing-analytics-dpia -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/privacy/marketing-analytics-dpia .github/skills/marketing-analytics-dpia && 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 "marketing-analytics-dpia" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/marketing-analytics-dpia into .github/skills/marketing-analytics-dpia/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketing-analytics-dpia", 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 mukul975/Privacy-Data-Protection-Skills --skill marketing-analytics-dpia -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills marketing-analytics-dpia --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/privacy/marketing-analytics-dpia .opencode/skills/marketing-analytics-dpia && 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 "marketing-analytics-dpia" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/marketing-analytics-dpia into .opencode/skills/marketing-analytics-dpia/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketing-analytics-dpia", 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
marketing-analytics-dpia- GitHub stars
- 301
- Token cost
- ~2.1k tokens
- SKILL.md length
- 942 words
- Files
- 5 (incl. scripts, references, assets)
- Skills in repo
- 280
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Guides DPIA for marketing profiling, behavioural targeting, cross-device tracking, and advertising analytics.
- Works in 4 steps: Marketing Data Flow Mapping (Week 1) → Lawful Basis Assessment (Week 2) → Risk Assessment (Week 3-4) → …
- Tasks that involve Privacy and GDPR
- SKILL.md covers Overview, Legal Framework, Marketing Processing Types and… and DPIA Methodology for Marketing…, plus 1 more section
- Runs Python scripts from its folder
What it does
Marketing Analytics Dpia is an agent skill from mukul975/Privacy-Data-Protection-Skills. Guides DPIA for marketing profiling, behavioural targeting, cross-device tracking, and advertising analytics. Covers ePrivacy Directive Art. 5(3) cookie consent, PECR regulations, legitimate interest balancing for direct marketing, and adtech processing chain assessment. Keywords: marketing analytics, DPIA, profiling, behavioural targeting, cross-device tracking, ePrivacy, PECR, adtech, legitimate interest.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/standards.md` and `references/workflows.md`).
It sits in Legal & Compliance, covering Privacy and GDPR and Marketing analytics. The repository describes itself as: 282+ structured privacy & data protection skills for AI agents. GDPR, CCPA, EU AI Act, HIPAA, LGPD, PIPL, DPDP Act. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Privacy and GDPR
- Tasks that involve Marketing analytics
Example prompts
- “Use the marketing-analytics-dpia skill to guide DPIA for marketing profiling, behavioural targeting, cross-device tracking, and advertising analytics”
- “/marketing-analytics-dpia”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 9b2ef9e. 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
Ships 1 file in scripts/ (Python), which the agent can run.
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
Marketing Analytics Dpia loads about 2.1k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 942 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); the scripts in this folder are not scanned.
SKILL.md
The full file from mukul975/Privacy-Data-Protection-Skills at commit 9b2ef9e, republished under its Apache-2.0 licence (© mukul975). 942 words, ~2,143 tokens.
Download SKILL.mdSave it as
.claude/skills/marketing-analytics-dpia/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- marketing-analytics-dpia
- description
- Guides DPIA for marketing profiling, behavioural targeting, cross-device tracking, and advertising analytics. Covers ePrivacy Directive Art. 5(3) cookie consent, PECR regulations, legitimate interest balancing for direct marketing, and adtech processing chain assessment. Keywords: marketing analytics, DPIA, profiling, behavioural targeting, cross-device tracking, ePrivacy, PECR, adtech, legitimate interest.
- license
- Apache-2.0
- metadata.author
- mukul975
- metadata.version
- 1.0
- metadata.domain
- privacy
- metadata.subdomain
- privacy-impact-assessment
- metadata.tags
- marketing-analytics, dpia, profiling, behavioural-targeting, eprivacy, adtech
Assessing Marketing Analytics Privacy
Overview
Marketing analytics processing — including customer profiling, behavioural targeting, cross-device tracking, programmatic advertising, and conversion attribution — triggers multiple DPIA criteria under WP248rev.01: evaluation/scoring (C1), systematic monitoring (C3), matching or combining datasets (C6), and potentially innovative technology (C8). This skill provides a DPIA methodology for marketing analytics processing, integrating GDPR obligations with ePrivacy Directive requirements for cookie-based tracking and PECR compliance for UK-based operations.
Legal Framework
GDPR Provisions for Marketing Analytics
- Art. 5(1)(b) Purpose limitation: Marketing data collected for one purpose cannot be repurposed for incompatible marketing without further lawful basis.
- Art. 6(1)(a) Consent: Required for most marketing profiling; must be freely given, specific, informed, and unambiguous.
- Art. 6(1)(f) Legitimate interest: May apply to direct marketing to existing customers (Recital 47) but requires balancing test for profiling.
- Art. 21(2)-(3) Right to object: Data subjects have an absolute right to object to processing for direct marketing purposes, including profiling related to direct marketing.
- Art. 22 Automated decision-making: Profiling that produces legal or similarly significant effects requires Art. 22(2) exception and Art. 22(3) safeguards.
ePrivacy Directive (2002/58/EC) Art. 5(3)
Storing or accessing information on a user's terminal equipment (cookies, device fingerprinting, local storage) requires:
- Clear and comprehensive information about the purposes
- Consent of the user (interpreted per GDPR standard: freely given, specific, informed, unambiguous)
- Exception: strictly necessary cookies for the service explicitly requested by the user
PECR (UK Privacy and Electronic Communications Regulations 2003)
- Regulation 6: Cookie consent requirements (mirrors ePrivacy Art. 5(3)).
- Regulation 22: Unsolicited marketing communications require prior consent (opt-in) with exception for existing customer soft opt-in.
- ICO enforcement powers under Regulation 31.
Marketing Processing Types and Risk Assessment
Customer Profiling
| Aspect | Assessment |
|---|---|
| Description | Aggregating customer data to create profiles for segmentation and targeting |
| WP248 criteria | C1 (evaluation/scoring), C6 (matching datasets) |
| Lawful basis | Consent (Art. 6(1)(a)) for new prospects; legitimate interest (Art. 6(1)(f)) for existing customers with LIA |
| Key risks | Discriminatory profiling, unexpected inferences, purpose creep |
| Mitigation | Transparency about profiling logic; opt-out mechanism; regular profiling accuracy review |
Behavioural Targeting
| Aspect | Assessment |
|---|---|
| Description | Tracking online behaviour to serve targeted advertisements |
| WP248 criteria | C1 (scoring), C3 (systematic monitoring), C6 (matching), C8 (innovative tech) |
| Lawful basis | Consent required (ePrivacy Art. 5(3) for cookies + GDPR Art. 6(1)(a) for processing) |
| Key risks | Pervasive tracking, opaque adtech supply chain, data leakage to multiple parties |
| Mitigation | Consent management platform; vendor due diligence; real-time bidding data minimisation |
Cross-Device Tracking
| Aspect | Assessment |
|---|---|
| Description | Linking user activity across multiple devices (desktop, mobile, tablet, smart TV) |
| WP248 criteria | C1, C3, C6, C8 |
| Lawful basis | Consent required — cross-device tracking exceeds reasonable expectations |
| Key risks | Comprehensive behavioural profiling; re-identification of pseudonymous profiles; tracking beyond user awareness |
| Mitigation | Explicit consent for cross-device linking; device-level opt-out mechanisms; limited retention |
Conversion Attribution
| Aspect | Assessment |
|---|---|
| Description | Tracking user journey from ad impression to purchase to attribute marketing ROI |
| Lawful basis | Consent for cookie-based attribution; legitimate interest may apply for first-party server-side attribution |
| Key risks | Extended tracking windows; cross-site tracking; data sharing with attribution platforms |
DPIA Methodology for Marketing Analytics
Phase 1: Marketing Data Flow Mapping (Week 1)
- Inventory all marketing data sources (website analytics, CRM, email platform, social media, advertising platforms, DMP/CDP).
- Map data flows from collection to activation (profiling, targeting, measurement).
- Identify all third-party recipients (ad exchanges, demand-side platforms, data management platforms, social platforms).
- Document all cookies, pixels, and tracking technologies deployed.
- Identify cross-site and cross-device tracking mechanisms.
Show full SKILL.md (382 more words)Show less
Phase 2: Lawful Basis Assessment (Week 2)
- For each marketing processing activity, determine the lawful basis:
- Cookie-based tracking: consent required (ePrivacy Art. 5(3))
- Profiling for targeting: consent (Art. 6(1)(a)) or legitimate interest with LIA (Art. 6(1)(f))
- Direct marketing emails: consent (PECR Reg. 22) or soft opt-in for existing customers
- Assess consent quality: is consent freely given, specific, informed, unambiguous, and withdrawable?
- For legitimate interest claims, conduct and document a legitimate interest assessment (LIA).
Phase 3: Risk Assessment (Week 3-4)
Assess marketing-specific risks:
| Risk | Description | Typical Level |
|---|---|---|
| MK-R1 | Opaque adtech supply chain — personal data shared with multiple parties without transparency | High |
| MK-R2 | Cross-site tracking building comprehensive browsing profiles beyond user expectation | High |
| MK-R3 | Discriminatory targeting — excluding or disadvantaging groups based on inferred characteristics | High |
| MK-R4 | Consent fatigue leading to uninformed consent | Medium |
| MK-R5 | Data leakage through real-time bidding bid requests | High |
| MK-R6 | Dark patterns in consent interfaces undermining genuine choice | High |
| MK-R7 | Children encountering targeted advertising | High |
| MK-R8 | Re-identification of pseudonymous marketing profiles | Medium |
Phase 4: Mitigation and Approval (Week 4-5)
- Implement technical measures: consent management platform, server-side analytics, data clean rooms, privacy sandbox APIs.
- Implement organisational measures: marketing data governance policy, vendor due diligence, data subject rights processes.
- DPO review and approval.
- Schedule review: annually or upon new marketing technology deployment.
Enforcement Precedents
- CNIL vs Google LLC (2022): EUR 150 million fine for making cookie rejection more difficult than acceptance on google.fr and youtube.com — dark pattern in consent interface.
- CNIL vs Amazon Europe (2020): EUR 35 million fine for placing advertising cookies without prior consent.
- CNIL vs Criteo (2023): EUR 40 million fine for behavioural advertising without valid consent, insufficient transparency about profiling, and failure to demonstrate consent had been obtained.
- Belgian DPA vs IAB Europe (2022): EUR 250,000 fine — Transparency and Consent Framework (TCF) consent string constitutes personal data; IAB Europe is a joint controller for TCF processing.
- Norwegian DPA vs Grindr (2021): NOK 65 million fine for sharing location and sexual orientation data with advertising technology partners without valid consent.
- AEPD vs CaixaBank (2020): EUR 6 million fine for commercial profiling without adequate consent management and insufficient transparency about profiling purposes.
- ICO vs TikTok (2023): GBP 12.7 million fine for processing children's data for targeted advertising without appropriate age verification and parental consent.
© mukul975, Apache-2.0. 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 (scripts, references, assets) in skills/privacy/marketing-analytics-dpia of mukul975/Privacy-Data-Protection-Skills.
- SKILL.md
- assets/template.md
- references/standards.md
- references/workflows.md
- scripts/process.py
Open the folder on GitHubat commit 9b2ef9e
Compare with similar skills
Marketing Analytics Dpia 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 |
|---|---|---|---|---|---|---|
| Marketing Analytics Dpia this skillmukul975/Privacy-Data-Protection-Skills | 301 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Olore Meta Pixel Latestolorehq/olore | 104 | — | ~504 | Automated safety check: Pass | MIT | |
| C15tc15t/c15t | 1.9k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Korean Privacy Termskimlawtech/korean-privacy-terms | 587 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Gdpr ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~3.9k | Automated safety check: Pass | MIT |
Similar skills
C15t
c15t/c15t
Work with c15t consent management docs, APIs, and integrations for Next.js, React, and JavaScript.
HIPAA Safe Harbor Coverage Audit
maziyarpanahi/openmed
Checks OpenMed de-identified clinical text against the 18 HIPAA Safe Harbor identifier categories and reports gaps and residual re-identification risk.
Korean Privacy Terms
kimlawtech/korean-privacy-terms
처리방침·이용약관 자동 생성 스킬 패키지 (v4.0). An agent skill from kimlawtech/korean-privacy-terms.
Gdpr Compliance
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert GDPR compliance assistant covering all four core workflows: (1) auditing code and systems for GDPR violations, (2) drafting GDPR-compliant documents such as privacy policies, Data Processing…
Hipaa Compliance
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert HIPAA compliance assistant for healthcare and software contexts.
More from mukul975/Privacy-Data-Protection-Skills
All 280 skills in this repoAge Gating Services
mukul975/Privacy-Data-Protection-Skills
Implements age-gating mechanisms for online services to restrict access based on user age.
AI Data Retention
mukul975/Privacy-Data-Protection-Skills
Manages AI model retention and machine unlearning requirements.
AI Dpia
mukul975/Privacy-Data-Protection-Skills
Conducts Data Protection Impact Assessments for AI and ML systems per EDPB Guidelines 04/2025 on AI processing.
Dpia Mitigation Plan
mukul975/Privacy-Data-Protection-Skills
Structures risk mitigation planning and residual risk tracking for Data Protection Impact Assessments under GDPR Article 35(7)(d).
Gdpr Accountability
mukul975/Privacy-Data-Protection-Skills
Guides implementation of the GDPR accountability principle under Articles 5(2) and 24, including documentation requirements for policies, DPIAs, RoPA, training records, and breach logs.
Pia Threshold Screening
mukul975/Privacy-Data-Protection-Skills
Conducts pre-DPIA threshold screening to determine whether a full Data Protection Impact Assessment is required under GDPR Article 35.
Related
Categories
Questions about Marketing Analytics Dpia
What does Marketing Analytics Dpia do?
Guides DPIA for marketing profiling, behavioural targeting, cross-device tracking, and advertising analytics. Marketing Analytics Dpia is an agent skill from mukul975/Privacy-Data-Protection-Skills. Guides DPIA for marketing profiling, behavioural targeting, cross-device tracking, and advertising analytics.
When should I use Marketing Analytics Dpia?
Marketing Analytics Dpia fits situations like: tasks that involve Privacy and GDPR; tasks that involve Marketing analytics.
How do I install Marketing Analytics Dpia in Claude Code?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill marketing-analytics-dpia -a claude-code`. Or copy the skill folder (skills/privacy/marketing-analytics-dpia in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/marketing-analytics-dpia in your project. Claude Code loads it when a task matches its description.
How do I install Marketing Analytics Dpia in Codex?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill marketing-analytics-dpia -a codex`. Or copy the skill folder (skills/privacy/marketing-analytics-dpia in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/marketing-analytics-dpia in your project. Codex loads it when a task matches its description.
Can I use Marketing Analytics Dpia 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 mukul975/Privacy-Data-Protection-Skills --skill marketing-analytics-dpia -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/marketing-analytics-dpia, .gemini/skills/marketing-analytics-dpia, .github/skills/marketing-analytics-dpia and .opencode/skills/marketing-analytics-dpia in your project.
What does Marketing Analytics Dpia need to run?
Going by SKILL.md and its folder, Marketing Analytics Dpia needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Marketing Analytics Dpia 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 Marketing Analytics Dpia 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Marketing Analytics Dpia use?
Marketing Analytics Dpia is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Marketing Analytics Dpia use?
About 2.1k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 849 tokens, read only when the agent opens those files.
What are the alternatives to Marketing Analytics Dpia?
Skills that share tags, products or a category with Marketing Analytics Dpia: Olore Meta Pixel Latest (olorehq/olore, 104 stars), C15t (c15t/c15t, 1.9k stars), HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars) and Korean Privacy Terms (kimlawtech/korean-privacy-terms, 587 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Marketing Analytics Dpia?
mukul975 (a GitHub user) maintains it in mukul975/Privacy-Data-Protection-Skills, which has 301 GitHub stars. The repository holds 280 skills in this directory. The repository was last updated on March 16, 2026.
Source: mukul975/Privacy-Data-Protection-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.