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Found 95 Skills
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AI-powered Uniswap developer tools: trading, hooks, drivers, and on-chain analysis across V2/V3/V4
Delegate a coding task to the Command Code CLI (`cmd`) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Command Code — phrasings like "have Command Code do X", "delegate this to commandcode", "run it through cmd", or "use Command Code to implement/fix/refactor" — or to run a queue of coding tasks through Command Code while staying the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.
Chooses the business model for a developer tool - proprietary SaaS, open core, hosted open source, support and LTS subscription, dual licensing, source-available, consumption metering, marketplace take-rate, OEM licensing - and the go-to-market each one forces. Use whenever a founder or exec asks how a developer tool should make money, whether open core or a managed cloud fits better, where the line between free and paid belongs, whether to open-source the product at all, or why adoption is high and revenue flat, and on any monetization, revenue model or commercial open source question - even if they never say "business model". Not price points, packaging or free-tier limits - use samber/developer-relations-skills@devtools-pricing-strategy.
Integrate Commet billing and payments into any application. Use when working with @commet/node, @commet/next, @commet/better-auth, the Commet CLI, or building billing features like subscriptions, usage tracking, seat management, checkout, customer portal, webhooks, feature gating, or payment flows. Triggers on imports from "@commet/node", "@commet/next", "@commet/better-auth", commet SDK usage, billing integration tasks, or mentions of Commet.
The Admin GraphQL API lets you build apps and integrations that extend and enhance the Shopify admin.
Automatically find relevant context from knowledge graph and code relationships while coding. Detects when context would be helpful (new files, unfamiliar code, architectural decisions) and surfaces related entities, prior decisions, and code dependencies.
CodeSee integration. Manage data, records, and automate workflows. Use when the user wants to interact with CodeSee data.
Eight-axis judgment code review for the current diff — Correctness, Simplification, Tests, Documentation, Style, Intent, Design/API, Performance (+ Coherence on metadata changes). Five-phase pipeline scope → deterministic tool battery (npx/uvx-preferred, zero-install for the JS + Python majority) → 8 parallel LLM axis reviewers → Haiku validators on sub-80 findings (verbatim rubric, ≥80 threshold) → synthesis with no-silent-drop + Conventional Comments JSONL. Every report closes with "What I did NOT check" (security → /security-review, runtime perf, flaky detection). Opt-in flags `--verify-build`, `--mutation-test`, `--reconcile`, `--apply-safe`. Public-skill posture — zero auto-install, graceful skip on missing native tools.
Official Salesforce documentation retrieval skill. Use when you need authoritative Salesforce docs from developer.salesforce.com, help.salesforce.com, architect.salesforce.com, admin.salesforce.com, or lightningdesignsystem.com, especially when pages are JS-heavy, shell-rendered, or hard to extract with naive fetching. Use to ground answers in official Salesforce sources instead of third-party blogs or summaries. TRIGGER when: user asks for official Salesforce documentation, Apex or API reference, LWC docs, Agentforce docs, setup or help articles, or any doc from a Salesforce-owned domain. DO NOT TRIGGER when: user is asking for a code change, deployment task, or anything not requiring documentation retrieval — use the appropriate sf-* skill instead.
API.Bible integration. Manage data, records, and automate workflows. Use when the user wants to interact with API.Bible data.
Position an AI product when everyone claims AI and skeptics call it "just a wrapper." Find the real wedge (data, workflow, trust, domain), make reliability the differentiator, answer "won't the big labs just build this," and stop leading with "AI-powered." Use when your AI or dev tool blends into a sea of similar demos, buyers doubt the accuracy, or you can't say why you win when the model is a commodity.