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Found 966 Skills
Pendo platform help — product analytics, in-app guides, session replay, NPS/CSAT surveys, feature adoption tracking, Leo AI. Use when Pendo guides aren't showing, feature tagging is tedious, analytics data looks wrong, users aren't completing onboarding, NPS scores are flat, need help with Pendo API or aggregation queries, setting up Pendo for the first time, or comparing Pendo to Appcues or WalkMe. Do NOT use for in-app messaging strategy across platforms (use /sales-in-app-messaging) or general customer feedback strategy (use /sales-customer-feedback).
Comprehensive knowledge system for addiction recovery environments, supporting both residential and outpatient (IOP/PHP) patients. Expert in evidence-based treatment modalities (CBT, DBT, MI, EMDR, MAT), recovery resources, coping strategies, crisis intervention, family systems, and holistic wellness. Activate on "rehab", "addiction recovery", "substance abuse", "treatment center", "IOP", "PHP", "detox", "sobriety support", "MAT", "Suboxone", "methadone", "12 step", "SMART Recovery". NOT for prescribing medications (consult medical professionals), emergency overdose situations (call 911), or replacing licensed counselors/therapists.
Master control flow for complex Web/JS website restoration. Applicable to reverse engineering of sign/token/cookie/header/body/websocket fields, heavy obfuscation, junk code, control flow flattening, JSVMP, worker/wasm, browser vs. Node.js difference analysis, environment patching, local reproduction and regression. It also covers case clues such as Akamai/Kasada/PX/reese84/TongDun/a_bogus/Tencent slider/Alibaba slider/JSVMP/227/226/wasm/protobuf/rid/fuid/fs/bx-pp/run_js/storage.estimate/animationend. By default, it adopts three MCP collaborative debugging and analysis: jshook + js-reverse + chrome-devtools-mcp, and switches specialized skills in locate, recover, runtime, env-patch, replay stages.
Luban - Skill Polishing Workshop. Transform a "usable Skill" into a public Skill asset that is "understandable, installable, shareable, verifiable, and continuously evolvable". The methodology consists of five craftsman-like steps: 1. Material Inspection: First challenge whether the premise of this Skill is valid; directly state if the "material" is not worth polishing. 2. Peer Research: Search for similar Skills online to clarify its position in the ecosystem. 3. Dimension Measurement: Evaluate using three metrics - structure, actual testing, and live verification (live verification means reconciling with real running outputs; a green CI can be deceptive). 4. Iterative Refinement: Freeze the original version as a baseline; only retain changes that pass the verification gate, otherwise revert. Try to institutionalize verification methods as tools and rules in the repository. 5. Post-Release Iteration: Release is not the end; maintain a benchmark observation list, and start the next iteration based on real feedback. This tool is used when users want to upgrade, optimize, polish, productize, or release their self-developed Skills. The final deliverables include a structured Skill Polishing Report, directly replaceable rewritten segments, and a shareable "Graduation Certificate" result card that can be screenshot. Trigger phrases include but are not limited to: "Let Luban take a look at this skill", "Polish at Luban's Workshop", "Polish my skill", "Upgrade my skill", "Optimize this skill", "Skill check-up", "Skill audit", "Productize my skill", "How to release this skill", "Benchmark against similar skills", "Why no one installs my skill", "Help me publish my skill to GitHub/ClawHub", "Improve SKILL.md". Even if users only provide a Skill directory, GitHub repository link, or a segment of SKILL.md saying "Help me figure out how to modify it", it should be triggered as long as the context is about making the Skill more usable and shareable. Do NOT use this for creating a new Skill from scratch (use skill-creator), regular code review (use code-review), or rewriting ordinary prompts unrelated to Skill assets.
Orchestrate a comprehensive legacy system modernization using the strangler fig pattern, enabling gradual replacement of outdated components while maintaining continuous business operations through ex
Implement secure webhook handling with signature verification, replay protection, and idempotency. Use when receiving webhooks from third-party services like Stripe, GitHub, Twilio, or building your own webhook system.
Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/export, dataset/table/view management, external tables, schema operations, query templates, cost estimation with dry-run, authentication with gcloud, data pipelines, ETL workflows, and MCP/LSP server integration for AI-assisted querying and editor support. Modern Rust-based replacement for the Python `bq` CLI with faster startup, better cost awareness, and streaming support. Handles both small-scale streaming inserts (<1000 rows) and large-scale bulk loading (>10MB files), with support for Cloud Storage integration.
Use when writing, reviewing, or refactoring WordPress PHP code. Covers WordPress Coding Standards (WPCS), naming conventions, Yoda conditions, $wpdb usage, escaping with esc_html/esc_attr/esc_url, wp_kses, hooks (add_action, add_filter, apply_filters, do_action), i18n functions (__(), _e(), _x, _n), wp_enqueue_script, wp_enqueue_style, formatting rules, deprecated function replacements, and WordPress API best practices. For security see wp-security; for performance see wp-performance; for blocks see wp-blocks.
Motivation science framework based on Daniel Pink's "Drive". Use when you need to: (1) design features that leverage intrinsic motivation, (2) create progress systems that support mastery, (3) craft purpose-driven messaging and missions, (4) audit if product mechanics undermine autonomy, (5) design team structures and incentives with AMP principles (Autonomy, Mastery, Purpose), (6) understand why gamification fails, (7) replace carrot-and-stick approaches with intrinsic motivation.
GitLab discussion operations via API. ALWAYS use this skill when user wants to: (1) view threaded discussions on MRs/issues, (2) create new discussion threads, (3) reply to discussions, (4) resolve/unresolve discussions.
Apply named refactoring transformations to improve code structure without changing behavior. Use when the user mentions "refactor this", "code smells", "extract method", "replace conditional", or "technical debt". Covers smell-driven refactoring, safe transformation sequences, and testing guards. For code quality foundations, see clean-code. For managing complexity, see software-design-philosophy.
Generate a branded social media image announcing a new feature or update. Analyzes git history, auto-detects brand from codebase (Tailwind, CSS vars, design tokens), replicates UI elements, and captures via Playwright. Use when the user wants to create an announcement image, says 'feature image,' 'announcement graphic,' 'social image for feature,' or wants to visually announce a code change.