Brainstorm a half-formed PostgreSQL backend feature idea before it's worth a heavy plan — Phase 1 of the two-phase PG planner, the open-design-space stage that comes BEFORE pg-feature-plan. Frame the problem, name the relevant PG subsystems (parser / planner / executor / heap-AM / index-AM / WAL / replication / catalog / autovac / extensions), sketch 2-3 candidate approaches with explicit tradeoffs, run a "has this been tried?" check against CommitFest entries + git log + the local corpus, surface DECISION: questions only the user can answer before Phase 2, and output a short ~150-300-line brainstorm doc (NOT a file:line-cited implementation plan — that's pg-feature-plan's job). Use this skill proactively whenever the user says "let's brainstorm a PG idea", "i have an idea for PG", "rough idea: [PG thing]", "what if we let PG [do X]", "what would it take to add [X] to PG", "could we do [Y] in PG", "explore the design space for [Z]", "i want PG to support [...]", "what are the 2-3 candidate approaches for [PG feature]", invokes \/pg-brainstorm\, or names a still-fuzzy half-formed PG-backend feature — even when they don't use the literal word "brainstorm". The signal is: the design space is still open, no approach is locked yet, the user wants to scope the problem before committing to file:line cites. Skip when an approach is already picked and the user wants the heavy implementation plan (use pg-feature-plan or /pg-plan), the brainstorm is for product / SaaS / UX / marketing / business / sprint / roadmap (non-PG), the feature is for a different database engine (MongoDB / Redis / MySQL / SQLite / Snowflake / DuckDB / Cassandra / Kafka), the user is at the design-review stage of an already-written plan (use pg-patch-review or review-checklist), or the question is about already-committed PG features ("how does X work" — that's a corpus / explanation question, not a brainstorm).
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryProduct & designStars0
About this skill
Brainstorm a half-formed PostgreSQL backend feature idea before it's worth a heavy plan — Phase 1 of the two-phase PG planner, the open-design-space stage that comes BEFORE pg-feature-plan. Frame the problem, name the relevant PG subsystems (parser / planner / executor / heap-AM / index-AM / WAL / replication / catalog / autovac / extensions), sketch 2-3 candidate approaches with explicit tradeoffs, run a "has this been tried?" check against CommitFest entries + git log + the local corpus, surface DECISION: questions only the user can answer before Phase 2, and output a short ~150-300-line brainstorm doc (NOT a file:line-cited implementation plan — that's pg-feature-plan's job). Use this skill proactively whenever the user says "let's brainstorm a PG idea", "i have an idea for PG", "rough idea: [PG thing]", "what if we let PG [do X]", "what would it take to add [X] to PG", "could we do [Y] in PG", "explore the design space for [Z]", "i want PG to support [...]", "what are the 2-3 candidate approaches for [PG feature]", invokes \/pg-brainstorm\, or names a still-fuzzy half-formed PG-backend feature — even when they don't use the literal word "brainstorm". The signal is: the design space is still open, no approach is locked yet, the user wants to scope the problem before committing to file:line cites. Skip when an approach is already picked and the user wants the heavy implementation plan (use pg-feature-plan or /pg-plan), the brainstorm is for product / SaaS / UX / marketing / business / sprint / roadmap (non-PG), the feature is for a different database engine (MongoDB / Redis / MySQL / SQLite / Snowflake / DuckDB / Cassandra / Kafka), the user is at the design-review stage of an already-written plan (use pg-patch-review or review-checklist), or the question is about already-committed PG features ("how does X work" — that's a corpus / explanation question, not a brainstorm).
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Brainstorm a half-formed PostgreSQL backend feature idea before it's worth a heavy plan — Phase 1 of the two-phase PG planner, the open-design-space stage that comes BEFORE pg-feature-plan. Frame the problem, name the relevant PG subsystems (parser / planner / executor / heap-AM / index-AM / WAL / replication / catalog / autovac / extensions), sketch 2-3 candidate approaches with explicit tradeoffs, run a "has this been tried?" check against CommitFest entries + git log + the local corpus, surface DECISION: questions only the user can answer before Phase 2, and output a short ~150-300-line brainstorm doc (NOT a file:line-cited implementation plan — that's pg-feature-plan's job). **Use this skill proactively whenever the user says "let's brainstorm a PG idea", "i have an idea for PG", "rough idea: [PG thing]", "what if we let PG [do X]", "what would it take to add [X] to PG", "could we do [Y] in PG", "explore the design space for [Z]", "i want PG to support [...]", "what are the 2-3 candidate approaches for [PG feature]", invokes \`/pg-brainstorm\`, or names a still-fuzzy half-formed PG-backend feature — even when they don't use the literal word "brainstorm". The signal is: the design space is still open, no approach is locked yet, the user wants to scope the problem before committing to file:line cites.** Skip when an approach is already picked and the user wants the heavy implementation plan (use pg-feature-plan or /pg-plan), the brainstorm is for product / SaaS / UX / marketing / business / sprint / roadmap (non-PG), the feature is for a different database engine (MongoDB / Redis / MySQL / SQLite / Snowflake / DuckDB / Cassandra / Kafka), the user is at the design-review stage of an already-written plan (use pg-patch-review or review-checklist), or the question is about already-committed PG features ("how does X work" — that's a corpus / explanation question, not a brainstorm).
About this listing
Category
Product & design
Reported license
PostgreSQL
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.