Product & Planning

calesthio Bundle

Select, integrate, and operate multi-model image-generation gateways with model-specific schema discovery, version policy, asynchronous jobs, webhooks, spend approval, safe inputs and artifacts, data-governance review, and billing observability. Use for comparing or building against fal.ai, Replicate, or Together AI image APIs, including controlled failover; do not use for direct model-provider APIs, local inference, training, dedicated endpoint provisioning, video generation, or general image editing.

calesthio Bundle

Select, integrate, and operate multi-model video-generation gateways — hosted inference aggregators such as fal.ai, Replicate, and WaveSpeed that expose many third-party video (and video-adjacent audio) models behind one account, one API surface, and one bill. Use when deciding whether to route video generation through a gateway versus a direct model-provider API; when comparing gateways on catalog, async/queue job design, webhooks, pricing, schema discovery, and version pinning; and when operating gateway workloads in production — spend controls, retries, cross-gateway failover, content- safety differences, data retention, and commercial-rights passthrough of the underlying model. Not for direct model-provider APIs, local/self-hosted inference, model training/fine-tuning, or image-only gateway use.

calesthio Bundle

Provider-independent workflow for producing SaaS and software product demo videos, including app walkthroughs, feature launches, sales demos, onboarding clips, help-center explainers, website hero demos, and PLG assets. Use when an agent must plan, script, capture, synthesize, edit, localize, review, or QA privacy-safe software demo videos with substantiated claims, accessible captions, screen/cursor direction, CTA variants, and stakeholder approval.

starchild-ai-agent Bundle

OpenSea API integration for NFT and token discovery, marketplace intelligence, and order/transaction workflows. Use when working with OpenSea data or trading flows (e.g. collection stats, trending collections/tokens, NFT metadata, listings/offers, swap quotes, transaction receipt polling).

serejaris Skill

Multi-agent batch download and data collection orchestration. Use this skill whenever the task requires discovering, validating, and downloading multiple files or datasets from the web — batch report downloads, multi-source data collection, structured web scraping, file archival, or any task demanding parallel discovery and retrieval with verification. This skill enforces plan-first decomposition, parallel sub-agent delegation, evidence-based URL discovery, strict output validation, and structured result integration. Do NOT use for: single file download, simple API calls, tasks that don't involve web discovery or file retrieval.

serejaris Bundle

OKR drafting, breakdown, and retrospective coach that helps users craft high-quality objectives and key results, decompose goals into actionable layers, and conduct periodic reviews. Use when the user mentions OKR, goal management, key results, drafting, breakdown, retrospective, review, alignment, quarterly goals, or asks for help writing, reviewing, or breaking down an OKR.

serejaris Skill

Search and discover skills for the agent. Use when the user expresses intent to find a skill, search for a skill, or needs a skill to solve a specific problem. Triggers on phrases like "find skill", "search skill", "look for skill", or when the user describes a problem and asks for a skill recommendation. Also triggers when the user asks about available skills or skill discovery.

serejaris Bundle

Generates an interactive HTML user story map visualizing product requirements in an Epic → Feature → Story structure, with MoSCoW priority tagging and Release swimlane grouping. Trigger when the user mentions story mapping, backlog visualization, MoSCoW priority, release planning, or asks to organize requirements into a story map.

serejaris Bundle

Turn scattered work notes and git logs into structured weekly or monthly reports in data-driven, narrative, or OKR-aligned styles. Triggered when the user mentions a weekly report, monthly report, work summary, sprint summary, status update, OKR progress, or needs to organize scattered records into a formal recap.

serejaris Bundle

Transform one-line product ideas into complete PRD documents with user stories, feature lists, MoSCoW prioritization, and acceptance criteria. Trigger when users ask to 'write a PRD', 'turn this idea into a spec', 'flesh out requirements', or mention product requirements, user stories, feature breakdowns, or acceptance criteria.

serejaris Bundle

Adapt stakeholder communication to the target audience (CEO, VP, Tech Lead, or Operations), adjusting detail level, language, and focus. Output tailored emails, briefings, or slide outlines. Trigger when a user asks for an executive briefing, stakeholder update, project status report for leadership, cross-team sync, or mentions writing to a VP, CEO, or tech lead.

runxhq Bundle

Route one question or source event through a supplied knowledge catalog to validated source, owner, escalation, and follow-up skill references. Use for evidence discovery and ownership routing, not broad business-action fanout or answering the question itself.

saeed-vayghan Bundle

Expert search specialist mastering advanced information retrieval, query optimization, and knowledge discovery. Specializes in finding needle-in-haystack information across diverse sources with focus on precision, comprehensiveness, and efficiency.

ever-just Skill

Search GitHub effectively — repositories, code, and topics — using the official GitHub docs' search syntax. Use when hunting for a repo/framework/library that does X, locating code patterns across public GitHub, or building a discovery query matrix for research. Covers repository search qualifiers, the code-search syntax (boolean/regex/path/symbol), the REST search API with rate limits, and a repeatable find-a-framework playbook. Grounded in docs.github.com (fetched 2026-07); re-fetch the linked docs pages if a qualifier seems to misbehave.

ever-just Skill

Make UI/UX calls objectively with two rubrics instead of by taste. Rubric A picks the right form control via decisive rules like NN/g's toggle-vs-checkbox test; Rubric B scores each key user flow 1–5 across 7 clarity dimensions to flag which to redesign. Use when choosing a form control, judging whether a flow needs redesign, justifying "objectively better" to a stakeholder, or writing UI acceptance criteria. Not for pure brand/visual work — use `frontend-design`.

ever-just Bundle

Battle-tested methodology for orchestrating many concurrent subagents to build or audit a large dataset — a 3-wave discovery→pull→synthesis pipeline with shared instruction templates, a strict no-delegation rule, file-on-disk completion checks, batching, incremental commits, and a recombine + row-integrity validation step. Use when a task is too large for one context (hundreds of companies/files/records), when you're fanning out research or extraction across batches, when subagents must write results to disk without clobbering each other, or when you need to detect and re-run subagents that stalled or self-delegated. Model-agnostic; complements task/agent tooling.

ever-just Skill

Client Discovery via Cross-Referencing (OSINT)

ever-just Skill

Make a hosted MCP server (and the REST API behind it) discoverable and usable by AI agents, so agents find and call your tools rather than only humans finding your site. Use this skill whenever the user has an MCP server or a public API and wants AI agents / ChatGPT / Claude to discover and use it, wants to "list our MCP server", "submit to the MCP registry", get into Claude/ChatGPT connector directories, fix "the MCP connection silently fails or won't authenticate", or improve agent-facing (not human) discoverability. Covers the official MCP Registry, the /.well-known OAuth discovery chain that is the

ever-just Skill

Turn audit findings into an engineer-ready remediation backlog via per-finding code + git forensics — confirm the root cause at path:line in CURRENT code, git-blame when it broke, git-log whether any commit fixed it, check uncommitted work, assign a status, and write the exact before→after fix + test + effort + priority. Use after an audit to make findings actionable instead of just descriptive.

nirholas Skill

Meme token fast-trading assistant with real-time meme token lists from launchpads (Pump.fun, Four.meme) across new, finalizing, and migrated stages, plus AI-powered market hot topic discovery with associated tokens ranked by net inflow.

nirholas Skill

Guide to discovering and evaluating new tokens — on-chain screening, red flag detection, fundamental analysis, and due diligence workflow. Covers DEX screening tools, liquidity analysis, holder distribution, and scam identification. Use when helping users research new tokens safely.

nirholas Skill

Guide to Lyra Registry — a standalone API and MCP service cataloging, scoring, and serving metadata for 800+ crypto, blockchain, DeFi, memecoin, NFT, metaverse, and trading tools. Enables discovery, evaluation, and integration of tools in the Lyra/Sperax ecosystem.

nirholas Skill

Guide to Lyra Tool Discovery — an AI-powered automation toolkit that discovers MCP servers for you. Point it at GitHub, npm, or configure custom discovery sources. Let GPT or Claude analyze APIs and generate ready-to-ship plugin configs. Zero manual work.

nirholas Skill

Guide to plugin.delivery — a marketplace and delivery infrastructure for AI plugins and MCP servers. Covers plugin discovery, version management, secure distribution, and integration with Claude Desktop, Cursor, and SperaxOS. The npm for AI tools.

gked2121 Bundle

Generates structured OKR plans (Objectives and Key Results) for teams and companies following Google/Intel methodology. Takes company goals, team function, quarter, and current metrics to produce a comprehensive okr-plan.md with objectives, key results, scoring criteria, alignment mapping, tracking cadence, and retrospective templates.

gked2121 Bundle

Predicts client renewal likelihood based on health score signals. Analyzes engagement, support, adoption, satisfaction, billing, stakeholder, and usage data to calculate a weighted Health Score (0-100), classify renewal risk, and generate a prioritized action plan with early warning signals and recommended save plays.

gked2121 Bundle

Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.

agentik-os Bundle

OmegaOS-shipped Complete Brand Identity System v2.1. From discovery to a deployed interactive brand book: Kapferer Brand Identity Prism, 2-3 switchable variants, typography, colors, voice, logo direction, AI prompts, design tokens, component previews (Next.js brand book on Vercel). Use when user says "/omg-brand-identity", "/brand-identity", "brand book", "brand system", or "visual identity". Step 3 of the OmegaOS new-project pipeline: run /omg-vision then /omg-prd first, follow with /omg-planner then `omega plan-run`.

agentik-os Bundle

Use to orchestrate the ENTIRE CAIO engagement — accompanying a classic company end-to-end to become AI-native — as ONE gap-checked, self-correcting pass that routes every phase to its owner skill and never rebuilds them. It walks the journey law (readiness/go-no-go → offer/sell → discovery → diagnose+architect+roadmap → build → enable+transfer → run+optimize), gap-checks each handoff (is the prior phase's real deliverable present AND sufficient before advancing?), adversarially verifies (≥2-of-3), and ships ONE CAIO Engagement Plan + a live phase tracker the operator drives. EN triggers caio master, run the full CAIO engagement, end-to-end AI transformation, make this company AI-native, orchestrate the CAIO journey, AI-native roadmap end to end, gap-check the transformation, CAIO program plan, where are we in the AI engagement. FR triggers caio master, pilote toute la transformation IA, rendre l'entreprise AI-native de bout en bout, orchestrer le parcours CAIO, plan d'accompagnement IA complet, gap-check de l

agentik-os Skill

Forensic feature completeness audit v1 (Gestalt-Popper). 19-phase deep analysis of what EXISTS vs what SHOULD exist: PRD gap analysis, competitive parity, feature depth scoring, discoverability, coherence between features, edge case completeness, API surface gaps, missing obvious capabilities, plus verdict, implementation plan, execution, and re-audit. Answers: "Is this product COMPLETE?" Score /320. Preamble v1.0 compliant. Audit → Plan → Implement → Re-audit. Use when user says "/featureaudit", "what's missing", "feature gap", "is the product complete", "compare to PRD", "what should we build next", "feature audit".

agentik-os Skill

Forensic retention + opportunity audit v1.1 (Gestalt-Popper, READ-ONLY). 20-phase parallel deep analysis applying 4 expert frameworks: Hooked (Eyal), Jobs-To-Be-Done (Christensen), Power of Moments (Heath), and Fogg B=MAT. Inventories user-journey gaps, drop-off forensics, aha-moment latency, hook strength, personalization debt, onboarding completeness, empty-states, network effects, sales angles, monetization hooks, friction surfaces, reactivation flows, community surfaces, discoverability, power-user delight. Outputs RICE-prioritized roadmap with Fogg adoption likelihood per top idea. Answers: "What would a senior CPO of a $1B SaaS find that we MISSED to satisfy users 3x more and drive retention compounding?" Score /400. READ-ONLY — proposes, never codes. Hands off to /planner or /implement. Use when user says "/retentionaudit", "what would a CPO suggest", "retention audit", "feature opportunities", "improve user satisfaction", "make it sticky", "retention hooks", "growth opportunities", "what are we missin

agentik-os Bundle

Manage the complete customer journey after commercial commitment: handoff, onboarding, discovery, success planning, delivery, scope, communication, acceptance, adoption, value proof, renewal, expansion, referral and offboarding. Contains 19 specialist agents, 30 skills, 9 protocols and 9 schemas. Use for client onboarding, delivery tracking, scope management, customer success planning, adoption/value-proof reporting, or renewal and expansion handoffs. Trigger words: delivery, customer success, onboarding, scope, adoption, renewal, expansion, offboarding; FR: livraison, succes client, integration client, perimetre, adoption, renouvellement, expansion.

agentik-os Bundle

The OmegaOS way of doing product work. Use this WHENEVER a mission touches a product decision: defining a vision, brainstorming ideas, framing an opportunity, proposing or scoping a feature, running discovery, prioritizing a backlog, or modelling a workflow/process. It is the operating method every oracle and worker follows so we never jump from "we have an idea" straight to "let's build it". The chain is always: Outcome -> Opportunity -> Idea -> Feature (Discovery -> Prioritization -> Specification) -> Workflow -> Build -> Measure. Seven sub-systems, each with its own objects, fields, statuses, and relations: Vision Board, Brainstorming System, Opportunity Board, Feature System, Feature Discovery, Feature Prioritization, Workflow Builder. Triggers (EN): "new feature", "should we build", "product vision", "roadmap", "brainstorm ideas", "prioritize", "RICE/ICE", "opportunity", "user problem", "spec this feature", "discovery", "acceptance criteria", "map the workflow". Triggers (FR): "nouvelle feature", "faut-i

agentik-os Bundle

Run a guided, role-adaptive AI discovery interview with one employee (usually a C-level or manager) so a Chief AI Officer can understand how the company really works before automating anything. Asks — in the person's own professional language (tech to a developer, marketing to a CMO, finance to a controller, plain words to non-technical people), never AI jargon — about their role, week and month, repetitive vs one-off tasks, handoffs between people, tools, integrations, what's automated vs manual, shadow IT, frictions, what to keep, what to improve, current vs ideal position, and the gap. Scans the company website first, handles consent and anonymization, then exports one standardized ZIP of .md files (identical for every person) ready for the CAIO. ALWAYS use this for an employee discovery interview, AI readiness intake, role or workflow discovery, a "decouverte" or "audit de poste", or CAIO onboarding — even if the word "skill" is never said.

agentik-os Skill

Invoke when a project must convert leads into paying customers and you need to decide the revenue engine (sales-led vs PLG) and the closing/onboarding mechanism before writing copy or coding an onboarding. Also fires on EN: 'sales-led vs PLG', 'founder-led sales', 'B2B sales process', 'discovery call', 'Jobs-to-be-Done', 'demo to close', 'handle objections', 'feel-felt-found', 'aha moment', 'activation / time-to-value', 'signup-flow CRO', 'behavioral follow-up sequence', 'how do I price the sales motion'; and FR: 'vente B2B', 'PLG ou sales-led', 'founder-led sales', 'appel de discovery', 'diagnostic avant pitch', 'closing', 'traiter les objections', 'feel-felt-found', 'aha moment', 'activation / time-to-value', 'onboarding qui vend', 'séquence de relance comportementale', 'la fortune est dans le follow-up'. Use when intérêt existe mais le revenu ne suit pas, ou avant d'automatiser une vente jamais réussie à la main.

agentik-os Bundle

Use BEFORE committing to a Chief-AI-Officer engagement — the pre-sign go/no-go qualification gate, the whitepaper's honest 30-minute discovery call ("I tell you honestly whether your case fits our approach; if not, I redirect you"). Maps a company against a 9-dimension AI-Readiness Maturity Model (0-4 per dimension with evidence), computes a weighted Readiness Index + maturity tier (Nascent / Emerging / Ready / Leading), and returns an honest GO / NOT-YET / REDIRECT verdict — willing to say "not yet, fix X first" or "you don't need us, you need Y". On GO it shapes the engagement (which of the 5 phases, 1-3 months, team size) + indicative investment anchored to the real grid (€2,500 setup + €2,500/member/month, monthly no-minimum) and hands to /market-proposal for the signed SOW. EN triggers AI readiness assessment, AI maturity model, go/no-go, qualify this client, is this company AI-ready, readiness scorecard, pre-engagement qualification, discovery call, should we take this client, CAIO qualification, disqua