Business & Operations

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.

Use when designing event-driven workflows, decoupling services, implementing fan-out patterns (one trigger, many downstream handlers), implementing idempotent event handling with IDs (24-hour dedupe window), or handling at-least-once delivery from external sources like Stripe webhooks. Covers Inngest event schema, payload format, naming conventions, IDs for idempotency, the ts param, fan-out patterns, and system events like inngest/function.failed.

Use when inspecting or operating Inngest accounts, environments, keys, webhooks, app syncs, function invocations, runs, or traces through the Inngest CLI alpha REST API wrapper. Covers `npx inngest-cli@latest alpha api`, Cloud Production with `--prod`, local/custom API targets, authentication environment variables, safe secret handling, JSON body flags, and run/debug workflows.

Draft a cover letter from a job posting and the applicant's own CV and evidence base, making only claims that trace to something they actually said, and stopping when the evidence stops rather than filling a word count. Use when the user asks for a cover letter, a covering letter, a letter of application, a motivation letter or an Anschreiben; when they want an existing draft checked for claims it cannot support; or when they ask whether a posting is worth applying to before writing one. Runs...

Submit experiments or agent jobs with resource limits, check queue status, pause/resume workloads, troubleshoot slow machine

Use when evaluating technical claims in high-depth content section units (e.g., 문제 해결 / 상세 프로젝트 / 경력 기술서). Defines the 5-axis framework (A1 Technical Credibility, A2 Causal Honesty, A3 Outcome Presence & Clarity, A4 Ownership & Scope, A5 Scanability) plus 2 critical authenticity rules (R-Phys, R-Cross) used by tech-claim-examiner agent. Verb-scope inflation (previously a separate rule) is now caught by A4 integrity_suspected sub-flag (see a4-ownership-scope.md).

Guide the operator through ACM switchover pre-flight validation with interactive checks and go/no-go decision points. > **Reference**: [docs/ACM_SWITCHOVER_RUNBOOK.md — Step 0](../../../docs/ACM_SWITCHOVER_RUNBOOK.md#step-0-verify-prerequisites-before-starting-switchover) ---

Guide the operator through pausing BackupSchedule on the primary hub, with version-specific instructions for ACM 2.11 vs 2.12+. > **Reference**: [docs/ACM_SWITCHOVER_RUNBOOK.md — Step 1](../../../docs/ACM_SWITCHOVER_RUNBOOK.md#step-1-pause-backupschedule-on-primary-hub) **If Argo CD / GitOps manages the BackupSchedule:** Pause Argo CD auto-sync for ACM-touching Applications first (runbook: "Optional: Pause Argo CD Auto-Sync"), or run the switchover tool with `--argocd-manage` so it pauses tho...

Use when the user wants to manage Valet agents, channels, connectors, organizations, or environment variables (secrets and plain config) via the valet CLI. Handles creation, deployment, linking, teardown, and all multi-step workflows. Also use when asked to "create an agent", "deploy an agent", "design an agent", "build me an agent that...", "create a connector", "set up a webhook", or anything involving the Valet platform or any request to create and deploy AI agents. Also use when asked to ...

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms.

Ethically scrape public LinkedIn profiles for lead generation and research.

Execute Hugging Face Hub operations using the `hf` CLI for downloading models/datasets, uploading files, managing repositories, cache, and cloud compute.

Automatically reply to unread support emails in Gmail with an acknowledgment message.

When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," or "free resource." This skill bridges engineering and marketing — useful for founders and technical marketers.

When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," or "content planning." For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit.

When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' or 'involuntary churn.' This skill covers voluntary churn (cancel flows, save offers, exit surveys) and involuntary churn (dunning, payment recovery). For post-cancel wi...

Transform external RDF context into agent mental states (beliefs, desires, intentions) using formal BDI ontology patterns.

> Essential patterns for Bash on Linux/macOS. ---

Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 9 color palettes and 6 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".

Recommend Azure VM sizes, VM Scale Sets (VMSS), and configurations by analyzing workload type, performance requirements, scaling needs, and budget. No Azure subscription required -- all data comes from public Microsoft documentation and the unauthenticated Retail Prices API.

Monday's full weekly sales bundle. Pulls prospect targets, runs prospecting + learn + diagnostic + brain + report as a sequenced step set.

Run the daily sales check. Phase A = invites (every day), Phase B = DM sequencing (Mon-Fri only). Includes pipeline-starvation evaluation. Skipped under --dry-run.

Stand the outbound engine up against a new operator's CRM, PhantomBuster account, and ICP. Interviews the operator, generates + conformance-tests a non-Attio CRM adapter when needed, writes config/*.yaml + .env, and verifies with a dry run.

Detect application-context mismatch after execution. Fires when correct output may not fit the actual context. Type: (ApplicationDecontextualized, AI, CONTEXTUALIZE, Result) → ContextualizedExecution