Review: 007-umw18aks
Started: 1/15/2026, 10:53:40 AM• Completed: 1/15/2026, 10:54:15 AM
Model: gemini-3-flash-previewWeb Search• After: 2026-01-14
Total
6
Green
4
Amber
1
Red
1
build-custom-claude-skills-for-your-charity
While the charity-specific context and writing style are excellent, the recipe describes a 'Claude Skills' feature and technical workflow that does not exist in the Claude web interface, leading to a fundamental failure in technical accuracy and feasibility.
Issues (4)
There is no 'Skills' feature in Claude (Pro, Team, or Enterprise) that uses a zipped folder and SKILL.md file via 'Settings > Features'. This appears to be a hallucination or a confusion with a different platform (like Open Interpreter).
Suggestion: Rewrite the recipe to focus on 'Claude Projects' for Team/Pro users. Projects allow for 'Project Instructions' and 'Knowledge' files which achieve the same goal using the standard UI.
The recipe encourages uploading 'supporting files' and 'reference documents' (e.g., safeguarding policies or CRM data) without any warning about PII (Personally Identifiable Information) or GDPR compliance.
Suggestion: Add a specific section on data privacy, advising users to redact beneficiary names or sensitive personal data before uploading documents to Claude.
Step 6 mentions adding Python/Node scripts but does not explain how these are executed within the Claude environment (which currently only supports an internal Analysis Tool/Python sandbox for specific tasks, not arbitrary Node.js scripts).
Suggestion: Clarify that custom scripts are only usable if the user is building via the API or using Claude's internal Analysis Tool, and stick to Python if targeting the standard web UI.
A user following these steps would be unable to find the 'Features' upload section or the 'Skills' toggle in their Claude account, making the recipe impossible to implement.
Suggestion: Align the steps with the 'Claude Projects' workflow: Create Project -> Add Custom Instructions -> Upload Knowledge Files.
get-started-with-claude-cowork
This is a high-quality, practical guide for an emerging AI tool with strong charity-specific examples, but it is hindered by a significant complexity misclassification and high cost barriers.
Issues (4)
The recipe is labelled 'intermediate' but requires no coding, API configuration, or technical setup beyond installing a desktop app and toggling a setting.
Suggestion: Reclassify as 'beginner' to encourage non-technical staff, as it fits the 'no-code tools' criteria.
The cost (£80-160/month) and the Mac-only requirement are significant barriers for many UK charities.
Suggestion: Explicitly highlight that this is a premium 'power user' solution in the summary so smaller charities don't spend time reading if the budget isn't there.
Claude 'Cowork' (the agentic computer use feature) is currently part of a fast-moving research preview and names/pricing tiers (like 'Max') may fluctuate.
Suggestion: Add a date or a note that 'Claude Max' and 'Cowork' features are subject to rapid change by Anthropic.
While it mentions removing personal data, it doesn't explicitly mention the UK GDPR implications of processing beneficiary data via a US-based AI agent with file-system access.
Suggestion: Add a specific bullet point about checking your organization's data protection policy regarding US-based cloud processing.
generate-synthetic-test-data-for-ai-experiments
A highly practical and well-constructed guide that effectively addresses a common charity pain point with clear, context-specific examples and robust code.
Issues (3)
The recipe is labeled 'beginner' but includes a Python script with library dependencies (Faker).
Suggestion: Either re-label as 'intermediate' or clearly state that the Python section is an optional 'plus' step for those with basic coding knowledge.
The phrase 'It's important to note' is avoided, but the solution section uses 'This gives you safe material to experiment with', which borders on slightly generic AI phrasing.
Suggestion: Keep as is, but ensure the tone remains grounded in the 'how-to' rather than the 'benefits of'.
While it correctly identifies that the data is fake, it doesn't explicitly mention the risk of 'residual' real data if the user accidentally pastes real records into the prompt as a template.
Suggestion: Add a small warning in Step 1 or 4 to never paste actual sensitive records into the LLM as examples, only the headers or dummy descriptions.
run-an-ai-lunch-and-learn-for-colleagues
An excellent, highly practical guide that perfectly balances technical instruction with the cultural nuances of introducing AI to a charity team.
Issues (2)
While the recipe mentions anonymisation, it doesn't explicitly warn that data pasted into free versions of ChatGPT/Claude may be used for model training.
Suggestion: Add a small note in the 'Data Privacy' section of the discussion or the 'Tips' section advising users to check their privacy settings or assume anything they type is no longer private.
The guide suggests 'Claude or ChatGPT' but the task sheet specifically references 'claude.ai'.
Suggestion: Ensure the task sheet uses more generic language or provides the URL for both tools if the facilitator hasn't pre-selected one.
use-claude-projects-for-persistent-charity-contexts
An excellent, highly practical guide that specifically addresses a common pain point for UK charities with clear, actionable steps and relevant examples.
Issues (2)
While the 'When NOT to Use' section correctly flags highly sensitive data, it doesn't explicitly mention GDPR or the specific risks of beneficiary data in a UK context.
Suggestion: Explicitly mention that beneficiary case studies or PII (Personally Identifiable Information) should be pseudonymised before uploading to ensure GDPR compliance.
The 'Prerequisites' section mentions the free tier has limited projects; however, as of current Anthropic features, Projects are generally a paid feature (Pro/Team).
Suggestion: Clarify that while users can view shared projects on free, creating them usually requires a paid subscription.
write-an-ai-acceptable-use-policy
An excellent, highly practical guide that addresses a critical governance gap for charities with clear, sector-specific templates and advice.
Issues (2)
Section 5.1 lists Claude.ai and ChatGPT free tiers as 'Approved for general use', but these tiers typically use user data for model training unless specifically opted out, which may conflict with some charities' data privacy standards.
Suggestion: Add a small note or 'Pro Tip' suggesting that for free tiers, staff should check 'Data Control' settings to disable training on their conversations.
The guide mentions 'Tools that process data in the EU/UK' in Step 4 but doesn't explicitly mention that standard US-based AI services often require a Data Processing Addendum (DPA) for GDPR compliance.
Suggestion: In Step 8 or the template, briefly mention that the DPO should ensure a DPA is in place for any tool processing personal data.