Results for “partner-tier”

Build and scale partner ecosystems that drive revenue and platform adoption, covering program design, tiering, co-marketing, build-vs-partner decisions, and structured deployment.

Find adjacent vendors and subs (not top market primes) who fill a capability gap against a displacement target using USASpending flows and SAM entity signals. Use when user defines a teaming gap and wants vault-ready partner shortlist with citations.

Use to design VIP or tiered support programmes and to test whether higher tiers actually deliver better outcomes. Trigger for "VIP support programme", "service tiering", queue priority for premium customers, entitlement vs priority, tier inflation, or "does our enterprise tier get faster support".

Partner Sales — 渠道合作伙伴销售

Pricing models, tier packaging, and willingness-to-pay research. Use when the user requests 'pricing tiers', 'freemium', 'value metric', 'pricing page', 'willing to pay', or 'van Westendorp'.

Pricing strategy for Nick's products. Use when deciding subscription tiers, freemium vs trial, packaging by value, transactional pricing, or preventing underpricing on products with real ROI.

Provides patterns and lived experience from an AI partner in a long-term creative partnership, helping AI agents build trust, match energy, push back constructively, and support human breakthroughs.

Choose pricing models, set freemium thresholds, and structure enterprise pricing conversations for technical products.

Recruit a channel or tech partner and actually activate them, not just sign them. It scores who fits, writes the mutual-value pitch in their terms, builds the enablement that makes them productive, and plans the first co-marketing or co-sell motion so the partnership produces something in the first quarter instead of going dark after the kickoff. Built for B2B partnerships teams, customizable to your CRM and your partner program. Trigger on "recruit a partner", "does this partner fit", "pitch a partnership", "activate a new partner", "partner enablement plan", "first co-marketing motion", or any partner recruiting or activation request.

Plan which model tier handles which work BEFORE execution begins — a high-cognition model deeply understands the problem, lays the foundations, then emits a modular plan assigning each module the cheapest tier that can safely execute it, with escalation tripwires and one-way-door protection. Advisory only: it announces "next module → tier X / model Y" at each boundary and the HUMAN switches models — harnesses like Cursor cannot switch mid-run. Load when the user asks which model to use, wants a model plan, model tiers, model-tier routing, assign models to tasks or modules, says "cheap model got stuck", "which model for this task", "cost-efficient model choice", or when implementation-plan / problem-to-plan need a model: tier column. NOT dynamic-routing (plan-path selection after failure) — this skill assigns cognition tiers to work.

Pair a remote AI agent with your browser. (gstack)

Provides a dashboard template for community/dating metrics with a navigation rail, ticker bar, headline KPIs, 30-day mutual-matches bar chart, and match-rate trend block.

TIGER v2 — Multi-scanner trading system for Hyperliquid perps via Senpi MCP. 5 signal patterns (BB compression breakout, BTC correlation lag, momentum breakout, mean reversion, funding rate arb), DSL v4 trailing stops, goal-based aggression engine, and risk guardrails. Configurable profit target over deadline. 12-cron architecture (10 TIGER + prescreener + ROAR meta-optimizer). Pure Python analysis. Requires Senpi MCP, python3, mcporter CLI, and OpenClaw cron system.

Identifies and analyzes statistical arbitrage opportunities through pair trading, using correlation analysis, cointegration testing, and z-score calculations to generate entry/exit signals for market-neutral strategies.

Compose a provider-neutral AI team by tiering accessible models on cost-efficiency, capability, latency, and governance, then mapping the 8 processkit role archetypes onto catalog Roles + RoleSlots inside a chartering Scope. Use when bootstrapping a new project team, rotating after a provider change, or quarterly rebalancing. Triggers: "create my AI team", "compose a team", "rebalance the team", "review the team".

Orquesta el ecosistema de agentes: decide qué modelo o tier usar, delega tareas a sub-agentes especializados y planifica arquitectura técnica.

用于组合和派遣并行团队的交互式代理选择器

Research Twitter/X profiles, tweets, and trends, then take approved engagement and posting follow-through actions through the AIsa relay. Use when: the user needs Twitter/X research plus likes, follows, unfollows, posting, or post-action follow-through without sharing passwords. Supports relay-based reads, OAuth-approved writes, and media-capable posting flows.

Layer 4 of the keyword research pipeline. Spawns a "skeptical SEO" adversarial sub-agent to argue against every survivor of Layers 1-3. Catches mechanical-classifier blind spots — wrong SERP intent, hidden link-graph gauntlets, AIO trajectory shifts, vanity-rank metrics. Same pattern as quality-check's adversarial draft read, applied to keyword selection.

Vendor privacy risk tiering methodology for processor management. Covers scoring factors including data volume, sensitivity, transfer locations, certifications, breach history, and control maturity with weighted risk calculation and tier assignment.

Pair a remote AI agent with your browser. One command generates a setup key and prints instructions the other agent can follow to connect. Works with OpenClaw, Hermes, Codex, Cursor, or any agent that can make HTTP requests. The remote agent gets its own tab with scoped access (read+write by default, admin on request). Use when asked to "pair agent", "connect agent", "share browser", "remote browser", "let another agent use my browser", or "give browser access". (gstack) Voice triggers (speech-to-text aliases): "pair agent", "connect agent", "share my browser", "remote browser access".

Host-only — remove a paired peer. Drops their SSH pubkey from authorized_keys and deletes their peer record. IRC /kick analog. Joiners cannot kick.

When the user wants help with pricing decisions, packaging, or monetization strategy. Use when the user mentions 'pricing,' 'pricing model,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'pricing strategy,' 'pricing experiments,' 'price anchoring,' 'enterprise pricing,' 'GTM pricing,' 'price setting,' 'value-based pricing,' 'revenue optimization,' or 'pricing psychology.' This skill covers pricing research, tier structure, packaging strategy, discount frameworks, upsell mechanics, and pricing experiments.

Multi-tiered memory management (HOT/WARM/COLD) for context compaction. Invoke ONLY for explicit compaction events: post-`/compact` cleanup, MEMORY.md tier promotion, archive batch, or "trim my context". NOT for general recall (use deep-recall) or routine memory writes (use storage-router). Triggers: "compact memory", "promote to durable", "archive old context", "tier this".

Checks on-chain agent trustworthiness, discovers agents for tasks, profiles agents, looks up wallet/identity records, contacts or dispatches agents, and reads or writes hosted metadata via the 8K4 Protocol (ERC-8004).

Map stakeholders on a power/interest grid and generate a tailored communication plan for each group.

Referral and partnership marketing strategist. Use when the user requests 'referral program', 'affiliate', 'partner program', 'refer-a-friend', 'word-of-mouth', or 'commission structure'.

Track key contacts who change jobs and draft warm outreach to movers at ICP companies

Selects pricing models (subscription, usage-based, value-based, freemium, hybrid), analyzes willingness-to-pay survey data with Van Westendorp PSM, and designs Good/Better/Best packaging tiers with anti-pattern detection.

`task-agent`/`review-agent`: use when broker delivery, ordering, acknowledgement, DLQ, backpressure, or replay changes; skip synchronous retry without message semantics.

PR Fleet

Orchestrates multi-agent workflows defined in YAML piece files, delegating tasks to team members and managing state transitions.

Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.

Scores competitors across nine weighted dimensions with explicit 1–5 rubrics and a tension plot, producing comparable profile cards for competitive analysis.

Plan and execute a comprehensive red team engagement covering reconnaissance through post-exploitation using MITRE ATT&CK-aligned TTPs to evaluate an organization's detection and response capabilities.