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cccskills

Results for “batching”

107 skills · sorted by relevance

Use when translating, extracting, or mass-converting hardcoded strings to i18n t() calls. Enforces multi-pass batching, parallel-per-language dispatch, 8 audit gates, and HTML integrity checks. Battle-tested through 21+ batches and 12 bug categories from the March 2026 incidents.

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tody-agent/codymaster53Updated Aug 26, 2026

Safe i18n: multi-pass batching, parallel-per-language dispatch, 8 audit gates, HTML integrity. Use for translating or mass-converting hardcoded strings to t() calls.

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tody-agent/codymaster53Updated Aug 26, 2026

Improve router-facing pipeline and reflection narration to reduce noisy status churn and make Step 0/Reflection outcomes explicit. Use when updating Router output contract, reflection reminder wording, or post-pipeline notification batching.

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oimiragieo/agent-studio42Updated Jul 14, 2026

Use when building Linux servers with liburing, batching SQEs, multi-shot operations, provided buffer rings, registered files and buffers, or zero-copy send. Not for packet I/O: use af-xdp.

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OutlineDriven/odin-claude-plugin37Updated Sep 29, 2026

Use when dependency upgrades need batching for CVEs, a major release, forced compatibility, a scheduled or vulnerability-triggered sweep. Not for PR queue triage: use github-backlog-triage.

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OutlineDriven/odin-claude-plugin37Updated Sep 29, 2026

Use when handling external API rate limits (e.g., OpenAI 429s, HubSpot or Stripe rate limits), preventing duplicate work from rapid event bursts (debouncing user actions), spreading load over time, ensuring per-tenant fairness, processing events in batches, limiting concurrent runs of the same operation, or assigning priority to important runs. Covers Inngest flow control: concurrency limits with keys, throttling, rate limiting, debounce, priority, singleton, and event batching.

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inngest/inngest-skills29Updated Sep 29, 2026

Reach and sustain inbox zero: triage workflows, filters, templates, batching, and unsubscribing systems. Use when email eats your day or your inbox has become an anxiety source.

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aicodedecode/awesome-muse-skills25Updated Oct 10, 2026

Review Dependabot PRs efficiently: triage, risk assessment, batching, and auto-merge policies. Use when dependency update PRs pile up or you want a sane update workflow.

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aicodedecode/awesome-muse-skills25Updated Oct 10, 2026

Covers object-level authorization bypass in GraphQL APIs where introspection reveals hidden fields or mutations that accept arbitrary user/resource IDs without ownership checks. Trigger on keywords like "GraphQL", "query", "mutation", "introspection", "resolver", "node ID", "relay", "object type", "schema", "batching", or "alias". Applies to dual-stack REST+GraphQL apps, Relay-style global IDs, and unauthenticated resolvers.

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ShulkwiSEC/bb-huge23Updated Jul 11, 2026

GraphQL and hidden parameter testing playbook. Use when exploring introspection, batching, undocumented fields, hidden parameters, schema abuse, and GraphQL authorization gaps.

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ShulkwiSEC/bb-huge23Updated Jul 11, 2026

Decide whether several finished branches ship as ONE PR or stay separate. Use when holding 2+ green branches before `shipyard pr`. Trades CI cost against revert granularity, urgency, and the diff-coverage gate.

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Generous-Corp/pulp22Updated Oct 20, 2026

Leveraged-prototype dev loop (`pulp loop`) — focus marker plus normal watch/rebuild loop, with AOT analyzer guidance and deferred ar-swap/PR-monitor playbook. Use when porting an existing UI/bundle to Pulp, doing visual/behavioral parity work, or batching upstream framework gap fixes.

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Generous-Corp/pulp22Updated Oct 20, 2026

Unity 6 graphics and rendering guide. Use when working with render pipelines (URP, HDRP, Built-in), shaders, Shader Graph, materials, textures, cameras, post-processing, or rendering optimization. Covers Render Graph, batching, draw call optimization, and GPU instancing. Based on Unity 6.3 LTS documentation.

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IdoCohen560/claude-unity-game-studio22Updated Jul 8, 2026

Analyze game code for performance bottlenecks including draw call batching and overdraw, shader complexity and LOD strategy, per-frame GC allocation pressure, object pooling gaps, physics timestep and collision matrix tuning, spatial partitioning for entity queries.

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tinh2/skills-hub-registry20Updated Sep 5, 2026

Diagnose and mitigate Salesforce data skew — ownership skew (single user owns >10,000 records) and parent-child skew (>10,000 children under one parent) — that cause sharing recalculation slowness, group membership lock errors, and record-level locking failures. Covers lookup skew and UNABLE_TO_LOCK_ROW, Defer Sharing Calculation (deferGroupMembership / deferSharingRules in Sharing.settings), ownership bucket groups, Controlled by Parent OWD, Bulk API serial vs parallel concurrency for skewed loads, and the documented load ordering for roles, groups and sharing rules. NOT for planning and batching a recalculation job — use data/sharing-recalculation-performance. NOT for designing the sharing model itself — use admin/sharing-and-visibility.

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PranavNagrecha/AwesomeSalesforceSkills19Updated Oct 20, 2026

Download large datasets from NCBI efficiently using EPost, history server, batching, rate limiting, and retry logic. Use when bulk-fetching tens of thousands of sequences, pulling all results of a large ESearch, designing reproducible pipelines, comparing E-utilities to NCBI Datasets v2 CLI, or implementing checksum-validated downloads. Encodes WebEnv TTL (~8h), EPost 200-ID limit, retmax caps, parallelization design, and integrity verification.

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lilinji/GeneTind-Life-Skills15Updated Aug 21, 2026

Official GSAP skill for performance — prefer transforms, avoid layout thrashing, will-change, batching. Use when optimizing GSAP animations, reducing jank, or when the user asks about animation performance, FPS, or smooth 60fps.

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mouadja02/skills10Updated Oct 17, 2026

Solana development patterns used in the Pump SDK — Anchor IDL-based program interaction, SPL Token and Token-2022 management, transaction construction with instruction composition, RPC batching, and cross-program coordination.

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x402agent/SolanaOS9Updated Jul 23, 2026

Design and interpret TypeSafe Jev decision requests in NV oOS — typed choice/score/noul questions, batching, confidence thresholds, composite scoring, and guardrails. Use when classifying, routing, scoring, or safety-screening content with the typesafe_decide or typesafe_guardrail tools.

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nvdigitalsolutions/mcp-ai-wpoos7Updated Oct 20, 2026

Use when the user asks to "build our social posting calendar", "set weekly slots and queue depth per channel", or "plan the evergreen recycle rotation"; produces the always-on brand calendar — pillar allocation with hero/hub/help balance and give:ask targets (all labeled Estimated starting heuristics to calibrate against own analytics, never scored rules), per-channel recurring slots with queue depth, a batching workflow, an evergreen recycle cycle with freshness re-checks, deliberate open slots for realtime/trend moments fed by trend-spotter go/skip verdicts, and first-comment/publish-order ops — cadence commitments filed to the channel registry, and no batch ships to the queue without a SHIP verdict from social-quality-auditor pre-publish mode. Not for repurposing an existing asset or the paid-amplification calendar — use content-amplifier. 社媒排期/内容日历/栏目配比/常青循环复用

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unempyd/revenueos7Updated Sep 14, 2026

TanStack Pacer best practices for execution control in React — debouncing, throttling, rate limiting, queuing, and batching. Use when implementing search inputs, scroll handlers, API rate limits, task queues, bulk operations, or any scenario requiring controlled execution timing with reactive state.

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fellipeutaka/denji6Updated Aug 3, 2026

Performs GraphQL introspection attacks to Şunu çıkar: full API schema including types, queries, mutations, subscriptions, and field definitions from GraphQL endpoints. The tester uses introspection queries to map the attack surface, identifies sensitive fields and mutations, tests for query depth and complexity limits, and exploits GraphQL-specific vulnerabilities including batching attacks, alias-based brute force, and nested query DoS. Activates for requests involving GraphQL security testi...

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MustafaKemal0146/fetih5Updated Oct 11, 2026

Inngest イベント駆動 Durable Execution リファレンス。バックグラウンドジョブ、長時間ワークフロー。 createFunction, step.run, step.sleep, step.waitForEvent, step.waitForSignal, step.invoke, step.sendEvent, step.sleepUntil, step.fetch, step.ai.infer, step.ai.wrap, step.metadata, inngest.send, serve, connect, checkpointing, Inngest CLI。 concurrency, throttle, debounce, rate-limit, batching, priority, idempotency, singleton, multi-tenancy フロー制御。 Realtime(channels, topics, publish, subscribe, subscription tokens, useRealtime)、 Agent Evals(scoring, group.experiment)、MCP(Dev Server / Cloud)。 デプロイ先 Next.js, Express, Hono, Cloudflare Workers, Vercel, Netlify, DigitalOcean, Render。

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Fandhe-AI/agent-reference-skills4Updated Oct 20, 2026

Download large datasets from NCBI efficiently using EPost, history server, batching, rate limiting, and retry logic. Use when bulk-fetching tens of thousands of sequences, pulling all results of a large ESearch, designing reproducible pipelines, comparing E-utilities to NCBI Datasets v2 CLI, or implementing checksum-validated downloads. Encodes WebEnv TTL (~8h), EPost 200-ID limit, retmax caps, parallelization design, and integrity verification.

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peacezha/TRACE3Updated Oct 20, 2026