'backfill' 검색 결과

Turn vague "what did I do?" into evidence-backed impact statements for performance reviews, self-reviews, promotion packets, and weekly updates. Uniquely mines Copilot CLI session logs to reconstruct forgotten work, plus git commits and GitHub PRs. Enforces a 3-part impact contract (action → result → evidence). Works standalone with zero dependencies. Trigger for: "brag", "log work", "what did I do", "backfill my work history", "performance review", "self-review", "self assessment", "write impact statement", "review prep", "promo packet", "promotion case", "weekly update", "status report", "accomplishments", "what did I ship", "I forgot to log my work", "summarize my work", "track my wins", "what should I highlight", "end of half", "career growth", "work journal", or any request to document, summarize, or organize work accomplishments.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Migrate schema + backfill data on a deployed Convex app using @convex-dev/migrations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plans Convex schema and data migrations with widen-migrate-narrow and @convex-dev/migrations. Use for breaking schema changes, backfills, table reshaping, or zero-downtime rollouts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Rehearse a live-app schema change + backfill on a snapshot-seeded preview deployment, verify, then promote the proven change to prod with the snapshot as rollback.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Rehearse a live-app schema change + backfill on a snapshot-seeded preview deployment, verify, then promote the proven change to prod with the snapshot as rollback.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Migrate schema + backfill data on a deployed Convex app using @convex-dev/migrations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plans Convex schema and data migrations with widen-migrate-narrow and @convex-dev/migrations. Use for breaking schema changes, backfills, table reshaping, or zero-downtime rollouts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Eat the elephant one bite at a time: turn a large list-shaped job into a finite routine that chews a small batch every night, detects when it is done, switches itself off and reports. Triggers: /elephant, eat the elephant, split into bites, make it a routine, ten a day, backfill everything.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Ensure event-driven designs specify delivery guarantees, ordering, idempotency, schema evolution, and replay/backfill strategy.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Collect this machine's local Claude Code conversation data with the asz collector. Resolves the local Claude data directory (honouring CLAUDE_CONFIG_DIR and XDG_CONFIG_HOME), builds the binary, lists what is discoverable, and lands everything into the storage root. Use when asked to collect, backfill, re-collect, or inspect local Claude Code sessions, or to check what the collector can see.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plans Convex schema and data migrations with widen-migrate-narrow and @convex-dev/migrations. Use for breaking schema changes, backfills, table reshaping, or zero-downtime rollouts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Insurance-industry App-in-Skill for read-only data governance, backed by an operator-provisioned Busabase workspace (one Drive node for the file drive plus four Bases for QA pairs, featured information, insurer notices, and user feedback) and trusted export/restore/PDF-text-backfill scripts. Use when the user invokes $kelly-insure-data or /kelly-insure-data, wants an insurance data workspace with UI, needs to review insurance files, metadata completeness, QA pairs, featured information, insurer notices, or user feedback, wants to back up or restore a Kelly Insure Data Busabase workspace from local PDFs, or wants Busabase Drive/Base data surfaced for data quality review and ongoing data governance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plans Convex schema and data migrations with widen-migrate-narrow and @convex-dev/migrations. Use for breaking schema changes, backfills, table reshaping, or zero-downtime rollouts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Large-scale data migrations with validation, rollback, and zero-downtime strategies. Activate on: data migration, database migration, zero-downtime migration, dual-write, backfill, cutover, data validation, schema migration. NOT for: schema evolution in streams (use schema-evolution-manager), API versioning (use api-versioning-backward-compatibility).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when applying Cloudflare D1 migrations, fighting Supabase migration history vs SQL execution, choosing direct psql over CLI, designing idempotent migrations, debugging schema drift between local and remote, or recovering after a half-applied migration. Triggers: supabase migration repair instructions appearing, table missing after "applied" status, "Tenant or user not found" when running psql, --remote vs --local D1 confusion, NOT NULL on a populated column, foreign key constraint failures, drift between staging and prod schemas. NOT for Mongo/document migrations, ORM-managed migrations specifically (Prisma/Drizzle have their own conventions), or pure data backfills.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Apache Airflow DAGs, operators, SLA monitoring, and workflow orchestration. Activate on: Airflow, DAG, operator, sensor, scheduler, task dependency, SLA, backfill, XCom. NOT for: dbt transformations (use dbt-analytics-engineer), streaming pipelines (use streaming-pipeline-architect).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

No-loss protocol for changing an existing mandate's output contract. Use when changing what an agent or mandate emits or how it is typed: binding a kind, declaring output_kind, kind-backfill batches, provision reconciliation, or any make-this-contract-honest sweep. NOT for creating a new agent (use create-agent).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Bringing an existing table onto the platform base standard. Use when asked to canonicalize, retrofit, or 'Wave 3' a table, run apply_rls or an org backfill, retire a bespoke *_versions table, or move it onto platform comments/associations/permissions. NOT for a schema move (use db-move-table-schema).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plans Convex schema and data migrations with widen-migrate-narrow and @convex-dev/migrations. Use for breaking schema changes, backfills, table reshaping, or zero-downtime rollouts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Migrate schema + backfill data on a deployed Convex app using @convex-dev/migrations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.