AI Agent Workflow Collection

Automatically activates when detecting complex, multi-task requests that would benefit from parallel execution. Activates when user mentions "build [system]", "implement [feature] with multiple components", requests involving 3+ distinct tasks, or explicitly requests orchestration/parallel work. PROACTIVELY analyzes complexity and recommends orchestration when beneficial.

Query Hamzaish's brain — search across learnings, decisions, playbooks, product docs, and configs. Returns ranked citations with snippets.

Generate a product's full brand-asset set at finishing time — two logo concepts to choose from, then the square app icon, favicon set, horizontal lockup, and a separate square auth-provider logo. One SVG source of truth, rendered with rsvg-convert. Every product needs all of these before launch.

Build the brand foundation — positioning, story, voice, naming, visual primitives — so every other launch asset (landing, content, outreach) sings the same song.

Build a community around the product — Discord/Slack/forum, waitlist nurture, early-user comms. Choose the right venue, don't default to Discord.

Map the competitive landscape by tier (direct/indirect/acquirer/adjacent) and argue why each could win. Antidote to competitor neglect.

Elite content marketing strategist specializing in AI-powered content creation, omnichannel distribution, SEO optimization, and data-driven performance marketing.

Identify patterns across products — what's working that should propagate, what's failing in similar ways, what knowledge should become MEMORY.md entries.

Launch the factory's control plane — scaffold and fill FACTORY-ORDERS (weekly mandate + hard budget), STANDING-ORDERS (autonomous-program authority), HEARTBEAT (weekly pulse), and write lifecycle gates for every registered product. A deliberate one-time ritual (re-run to audit); invoke as /factory-launch, not auto-triggered.

Synthesize a batch of customer interviews into evidence-for + evidence-against the hypothesis, with pattern surfacing and bias flagging.

Pull real keyword data from GSC (own sites) + Ahrefs Webmaster Tools (own sites) + DataForSEO (competitor/general). Produce a clustered keyword brief.

Quarterly portfolio review. Hard call on what to kill, what to maintain, what to double down on. Forces decisions.

Quarterly portfolio review with forced verdicts (DOUBLE-DOWN / MAINTAIN / MINIMAL / KILL) for every product.

A library of real, hard-won website-launch failure modes — each with what happened, the root cause, and how to prevent it. Use before starting a launch, when debugging a launch-time SEO/analytics/performance problem (indexation not happening, redirect or canonical issues, analytics undercounting, schema validation failing, CWV regressions, robots.txt mistakes), or when a launch checklist item refuses to verify. These are the mistakes that normally only get learned by being burned. Companion to web-launch.

Plan and execute the launch — Product Hunt, Hacker News, X/Twitter, LinkedIn, newsletters, communities — sequenced for compounding signal.

Define the measurement framework BEFORE launch. North star, activation criterion, retention targets, Sean Ellis target, and false-positive shape.

Identify and deepen moats — workflow lock-in, data network effects, domain depth, integration depth. Audit current moats + propose investments.

Clear a product/brand name BEFORE buying a domain or branding anything. Runs same-industry collision, trademark signal, domain availability, and distinctiveness checks. Returns RED/YELLOW/GREEN verdicts with evidence. Use whenever a new product is being named, a domain is about to be bought, or a user proposes a name.

End-to-end product naming pipeline — brief → competitor scan → theme-by-theme generation → clearance → selection → TLD/budget → lock. Embeds the operator's default iterative shortlist-by-theme selection method. Use to name a new product or rename an existing one. Composes competitor-research and name-clearance.

Decide where attention goes today across the 10-product portfolio. The "if you had 4 hours to work on the portfolio, do this" agent.

Snapshot of ALL products — one table, one recommendation. The "where should I focus today" command.

Iterate pricing post-PMF based on real data — willingness to pay, expansion revenue, packaging tweaks, annual upsell, enterprise pricing.

Turn vague problem observations into testable hypothesis statements with specific who/when/severity/current-workaround dimensions.

Snapshot of one product — current metrics, stage, blockers, and the 1 recommended action today.