Pack 439 · Developer stacks · 13 items
MongoDB Developer Pack
11 prompts + 2 skills for mongoDB developers and database engineers — real jobs from the week, with the steps, rules and output an expert would ask for. 7 written for this work, 6 more from the library.
€4one-time · 13 prompts & skills · ≈ €0.31 each
- Instant download
- Yours to keep
- Works in ChatGPT, Claude, Gemini
What's inside
Made for mongoDB developers and database engineers
6 prompts + 1 skill- PromptMongoDB Schema Design — Embedding Versus Referencing, Access Patterns and Proven Schema Patterns
Designs a MongoDB data model from the application's real queries — embedding versus referencing, document size and growth, the bucket, computed, subset, extended reference and outlier patterns, schema validation rules and a migration path — instead of copying a relational schema into collections.
- PromptMongoDB Index Strategy — Equality, Sort, Range Ordering, Explain Plans and Index Clean-Up
Fixes slow MongoDB queries with a disciplined index review — reading explain output, the equality-sort-range guideline for compound indexes, covered queries, partial and TTL indexes, unused and duplicate index removal, and the write cost of every index — backed by before-and-after numbers.
- PromptMongoDB Aggregation Pipeline Review — Stage Order, Lookup Cost, Memory Limits and Correct Results
Reviews and rewrites MongoDB aggregation pipelines — moving match and project stages early so indexes are used, controlling lookup and unwind costs, avoiding memory limit errors, window functions, faceting, and testing results against known totals — for reporting and application queries.
- PromptMongoDB Sharding Plan — When to Shard, Shard Key Selection, Zones and Resharding
Decides whether and how to shard a MongoDB deployment — limits of vertical scaling, shard key cardinality, frequency and monotonic growth, targeted versus scatter-gather queries, zone sharding for data residency, resharding options, and an operational runbook for the change.
- PromptMongoDB Vector Search and Hybrid Search for Retrieval-Augmented Applications
Builds retrieval for an AI application on MongoDB — chunking and embedding storage, vector index definitions with filter fields, combining keyword and vector results, evaluation with real questions, keeping embeddings in sync with source data, and what is production-ready versus preview in the deployment used.
- PromptMongoDB Operations Runbook — Replica Sets, Read and Write Concerns, Backups and Version Upgrades
Writes the operational runbook for a MongoDB deployment — replica set topology, read preference and write concern choices per workload, backup and tested restores, monitoring and alerts, connection limits, and a step-by-step major version upgrade with rollback points.
- SkillMongoDB Database Partner
A standing MongoDB partner: schema design from access patterns, index and explain plan reviews, aggregation pipelines, sharding decisions, vector and hybrid search, and operations — correct data, fast queries, tested backups.
Bonus prompts & skills
5 prompts + 1 skill · free with the packFrom the wider PromptCorrectly library, picked for the same work. They come in the same .zip and the start file tells your AI when to use each one.
- SkillExploratory Data Analysis Strategist
Produces a structured EDA plan and narrative findings for any new dataset before modeling.
Library · Free account - PromptTranslate Business Questions Into SQL
Turns a plain-English stakeholder question into a correct, well-commented SQL query against a known schema.
Library · Free - PromptRoot-Cause A Metric Spike Or Drop
Drives a systematic decomposition to explain why a metric moved, with SQL to test each hypothesis.
Library · In a pack - PromptData Quality Monitoring Dashboard Spec
Specifies a data-quality dashboard tracking freshness, completeness, validity, and anomaly checks per pipeline.
Library · In a pack - PromptAPI Contract And Backward-Compatibility Review
Reviews API changes for breaking-change risk, versioning, and contract clarity before they ship to consumers.
Library · In a pack - PromptCapacity Planning & Resource Model
Builds a demand-vs-capacity model to expose over/under-staffing and recommends hiring, reallocation, or automation moves.
Library · In a pack
What you download
Everything comes in one pack (.zip) you keep. Start with 00-GIVE-THIS-TO-YOUR-AI.md: paste it into your AI and it knows which file to use for which job, and what to ask you first.
More for Developers · Data Analysis & Excel
mongodb-developer/ ├─ 00-GIVE-THIS-TO-YOUR-AI.md ├─ START-HERE.md ├─ TIPS-AND-FOLLOW-UPS.md ├─ AI-CHEAT-SHEET.md ├─ prompts/ │ ├─ 01-mongodb-schema-design-embedding-versus-referencing-and-patterns.md │ ├─ 02-mongodb-index-strategy-esr-guideline-and-explain-plan-review.md │ ├─ 03-mongodb-aggregation-pipeline-performance-and-correctness.md │ ├─ 04-mongodb-sharding-shard-key-selection-and-rebalancing-plan.md │ ├─ 05-mongodb-vector-search-and-hybrid-search-for-rag-applications.md │ ├─ 06-mongodb-replica-set-operations-backup-and-upgrade-runbook.md │ ├─ 07-translate-business-questions-into-sql.md │ ├─ 08-root-cause-a-metric-spike-or-drop.md │ ├─ 09-data-quality-monitoring-dashboard-spec.md │ ├─ 10-api-contract-and-backward-compatibility-review.md │ └─ 11-capacity-planning-resource-model.md └─ skills/ ├─ mongodb-database-partner/SKILL.md └─ exploratory-data-analysis-strategist/SKILL.md
A look inside
ROLE: You are a MongoDB data modelling specialist. The most common MongoDB mistake is designing collections like relational tables and then fighting joins and unbounded arrays, so you start from the application's read and write patterns and shape documents around them. CONTEXT: The application and its main features: [APPLICATION]. Entities and relationships (one-to-few, one-to-many, many-to-many): [ENTITIES]. …
Questions
What do I get?
A .zip with 11 prompts + 2 skills: 6 prompts + 1 skill written for mongoDB developers and database engineers, plus 5 prompts + 1 skill from the wider library that fit the same work. Each prompt is a ready .md file, each skill a SKILL.md folder, plus 00-GIVE-THIS-TO-YOUR-AI.md (a start file your AI reads first), START-HERE.md, TIPS-AND-FOLLOW-UPS.md (tips and the follow-up questions for every file) and the free AI cheat sheet.
How do I use it?
Open ChatGPT, Claude or Gemini and paste 00-GIVE-THIS-TO-YOUR-AI.md, or attach the folder. It asks a few questions about your work once, then picks the right file for each job and fills in the blanks.
Is it a subscription?
No. €4 once, and the files are yours to keep. Nothing renews.
How do I download it?
Right after checkout, on the confirmation page. Sign in later with the email you paid with and the download button waits for you on this page.
Why this price?
A pack is priced by the items written for its trade: €0.50 a prompt and €1 a skill. The 6 bonus items come free on top. This one is €4 for 13 prompts and skills, about €0.31 an item.