legitimacy-signals
How to project legitimacy for Solana projects: disclosures, address registry, audits, comms patterns, red-flag avoidance. Use for project pages, announcements, and community trust work.
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How to project legitimacy for Solana projects: disclosures, address registry, audits, comms patterns, red-flag avoidance. Use for project pages, announcements, and community trust work.
Comprehensive rug detection for Solana tokens - red flags, contract analysis, LP verification, insider patterns, and escape routes. Use before buying any token to protect against scams.
Design transaction signing UX on Solana: pending/confirmed states, retries, fee prompts, and error messaging. Use when building tx flows.
Stabilize a token/dApp after launch: monitoring, comms, liquidity adjustments, and product milestones. Use during first 72 hours and beyond.
Track and analyze whale wallets on Solana - identify smart money, cluster related wallets, detect accumulation/distribution patterns, and filter signal from noise. Use for alpha generation and risk assessment.
Templates for Solana launch announcements: X threads, pinned TG messages, FAQs with addresses and disclosures. Use for Day 0 comms.
Integrate Jupiter aggregator for swaps - API usage, route optimization, slippage handling, and frontend/bot implementation. Use when building swap UIs or trading bots.
Monitoring plan for Solana apps: RPC health, tx success, program errors, and liquidity signals. Use to set up dashboards and alerts.
Master Jito bundles for MEV protection and priority fee optimization on Solana - bundle submission, tip strategies, and transaction landing. Use for trading bots, high-priority transactions, and MEV-aware appli...
Runbook for token operations after launch: treasury moves, unlock communications, LP adjustments, and monitoring. Use for weeks 1�4 post launch.
Troubleshoot frequent Anchor runtime errors: discriminator mismatch, constraint failures, account deserialization, and CPI issues. Use when tests or txs fail with Anchor errors.
Operational patterns for fair token launches: definitions, mechanics, tradeoffs, and execution steps. Use when planning fair/transparent launches.
Explain Solana AMM liquidity, slippage, volatility, and LP mechanics for tokens. Use to brief teams or design initial liquidity.
Generate a risk register and mitigation plan from a PRD, covering product, security, delivery, and dependency risks. Use when risks must be explicitly enumerated and owned.
Generate a performance plan from a tech spec with budgets, load tests, thresholds, and monitoring. Use when performance targets must be explicit and verifiable.
Generate an ops/runbook spec from a tech spec with SLOs, alerts, dashboards, and rollback steps. Use when operational readiness must be defined.
Generate a migration plan from a tech spec with phased rollout, rollback, and validation. Use when schema or data changes require controlled execution.
Set up a production-ready Anchor workspace: program/client layout, env config, testing, and build hygiene. Use when starting new Anchor projects or re-baselining repos.
ASGI server for Python web applications - Fast, production-ready server for async frameworks
Create professional, attractive, and visually striking user interfaces in Next.js. Use when building beautiful websites, landing pages, dashboards, or any UI that needs to stand out. Covers Tailwind CSS utiliti...
Create polished, intentional frontend interfaces. Use this skill when building any UI — dashboards, admin panels, landing pages, marketing sites, or web applications. Routes to specialized guidance based on con...
Comprehensive code quality analysis and optimization for React/TypeScript projects. Identifies performance bottlenecks, suggests architectural improvements, and generates detailed optimization plans.
Use the constraint-memory MCP tools to query/upsert timeboxing constraints stored in Notion.
Query engineering, project management, and investment data from the Span Knowledge Graph API. Includes pull requests, commits, deployments, epics, issues, sprints, investments, teams, and people.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.