Product & Planning

robsonkades Bundle

The JDK 17-25 segmented code cache, GC-driven unloading, fragmentation, segment sizing, and jcmd Compiler.codecache/CodeHeap_Analytics. Use when aggregate usage looks healthy but one CodeHeap is exhausted, compilation stops or restarts, GC logs show a CodeCache cause, startup rejects manual heap sizes, an OutOfMemoryError reports "Out of space in CodeCache", or a long-running service degrades while aggregate free space remains. Covers runtime-shape discovery so tools do not assume exactly three heaps on every mode or release. Excludes the introductory exhaustion signature (jit-compilation), container memory budgeting (jvm-memory-regions), and Metaspace internals (metaspace-internals).

knuckles-team Bundle

Agentic research paper discovery pipeline. Extracts focus topics from the Knowledge Graph, dynamically builds a relevance taxonomy, fetches daily papers via the scholarx MCP, and also sweeps open-web & social sources (Hacker News, Reddit, X, YouTube, news, web) via the PulseLink MCP, scores them locally, and ingests the most valuable items. Triggers on "scan for papers", "find new research", "check arxiv", "research scan", proactively discover research that could enhance a codebase.

knuckles-team Bundle

Discover what is consuming disk on a host and safely reclaim space. Use when a filesystem is full or nearly full ("no space left on device", df shows 90%+), when /home or / is ballooning, or when the user asks to free up space, clean caches, prune stale git worktrees, garbage-collect a Docker registry, or consolidate per-repo virtualenvs. Runs read-only discovery (df + du breakdown) first, then gated reclamation in safety order: regenerable caches, merged+clean git worktrees, Docker registry GC, docker system prune, and redundant venv consolidation — always preserving in-flight work, live service data, and application databases. Works on the local host or, for a remote host, via tunnel-manager (SSH) and container-manager-mcp (Docker over SSH). Do NOT use to delete application data, dump databases, or migrate/rotate live services to other hosts (that is a deployment-planner + tunnel-manager job).

knuckles-team Skill

Establish governed passwordless SSH trust for hosts selected by an AgentConfig inventory and remote-access profile. Use when onboarding servers, repairing missing SSH trust, or preparing managed hosts for infrastructure discovery. Do not use for ongoing remote command execution, application credentials, or hosts outside the configured inventory.

knuckles-team Bundle

Comprehensive multi-modal comparative analysis engine for codebases, research papers, and cross-domain innovation extraction. Evaluates governance, architecture, quality, security, testing, docs, and performance. Supports concept-ID-seeded cross-referencing against project concept registries for targeted enhancement discovery. Includes architecture-aware gap analysis with C4 diagram discovery/auto-generation, hot path identification, design pattern differential, and wiring opportunity synthesis.

knuckles-team Bundle

Run an employee performance review: gather OKRs and metrics, analyze performance against targets, and generate a review report. Use for periodic or annual performance evaluations and OKR tracking.

knuckles-team Bundle

Automated alpha mining: Scan market data → Generate factors → Score → Fuse signals.

knuckles-team Bundle

Intelligent service placement and deployment strategy engine for Docker Swarm, Kubernetes, or standalone container clusters. Performs hardware discovery, service tier classification, compute-weighted placement scoring, and generates deterministic deployment blueprints. Produces migration plans with data-aware volume handling. Use when deploying services to a new cluster, rebalancing existing workloads, capacity planning, or creating golden deployment recipes. Triggers on "deployment plan", "rebalance services", "placement strategy", "capacity plan", "golden deployment", "where should I put this service", "optimize my cluster". Do NOT use for individual container debugging — use container-health-check for that.

knuckles-team Bundle

Discovery workflow that probes available capabilities across MCP servers. Tests tool introspection, not execution — useful for building capability maps.

knuckles-team Bundle

Zero-to-hired quant career roadmap as an executable DAG. Sequences the seven phases — math + Python foundations, finance fundamentals, first backtested strategy, ML for finance, the five-project GitHub portfolio, certifications, and the remote job search — with the month-overlap dependencies from the roadmap. Use to onboard and mentor a learner toward a quant role with no PhD.

knuckles-team Bundle

Full workspace discovery — list available workspace actions, repositories, and validate project structure.

knuckles-team Bundle

Combined observability check with research discovery. Validates Langfuse is healthy while concurrently searching for papers on agent observability.

knuckles-team Bundle

Search for papers, explore categories, and download relevant publications for offline analysis.

knuckles-team Bundle

Interactive SSH key bootstrap for new infrastructure hosts. Checks existing connectivity, generates RSA keys if missing, and distributes them via tunnel-manager to establish passwordless SSH access for future discovery scans.

golemcloud Skill

Adding prompt and description annotations to Rust agent methods. Use when the user asks to add descriptions, prompts, or documentation metadata to agent methods for AI/LLM discovery.

golemcloud Skill

Adding prompt and description annotations to Scala agent methods. Use when the user asks to add descriptions, prompts, or documentation metadata to agent methods for AI/LLM discovery.

golemcloud Skill

Adding prompt hints and descriptions to Effect-based Golem agents and methods. Use when an @golemcloud/effect-golem agent needs AI/LLM discovery metadata or human-readable method documentation.

golemcloud Skill

Adding prompt and description annotations to MoonBit agent methods. Use when the user asks to add descriptions, prompts, or documentation metadata to agent methods for AI/LLM discovery.

xjli360 Bundle

Apply a simple Amazon Ads allocation model that separates discovery from exploitation, tests keyword and placement effects, and reallocates budget toward evidence-backed conversion pockets. Use when the user asks for a clear mental model for Amazon ads, how to find good traffic, how to compare placements, or how to reduce poor traffic. Draft only unless live changes are explicitly approved.

xjli360 Bundle

Diagnose and design low-bid Amazon Ads discovery experiments that probe residual traffic, minimum viable bids, placements, and harvestable search terms under a portfolio cap. Use when the user asks about 捡漏广告, low-CPC discovery, bid floors, incremental keyword testing, or turning cheap traffic into a durable campaign. Default to analysis and draft changes; never mutate live ads without explicit approval.

xjli360 Bundle

Map Amazon product targets by substitute, complement, own-brand defense, and category discovery using current relevance, price, rating, and performance evidence. Use to structure Sponsored Products, Sponsored Brands, or display product targeting.

xjli360 Bundle

Build a human-governed global Amazon growth roadmap that connects AI-assisted insights, product/listing/localization/operations workflows, marketplace sequencing, and a verified opportunity calendar. Use for 亚马逊全球开店趋势, 跨境电商AI转型, AI智能体工作流, 全球站点布局, 节日商机日历, 复活节/樱花季/地球日/墨西哥儿童节, operator-to-decision-maker transition, or converting the authorized 2026 whitepaper and April poster into a measurable plan. Treat trend statistics, cases, dates, tools, and opportunity lists as snapshots; never automate protected business writes without explicit human approval.

xjli360 Bundle

Build an evidence-gated Amazon competitor traffic network with separate opportunistic exact, contested exact, attribute exploration, automatic discovery, and defense layers. Use for 系统化抢竞品流量、自然强但广告弱的词、竞品核心词、防守词、自动捡漏. Use v1 only for a simpler audit.

xjli360 Bundle

Evaluate and improve low-price, high-CPC Amazon products using break-even economics, legitimate bundles or multipacks, long-tail traffic, low-bid discovery, creator channels, and original video ads. Use when a product has thin margin, expensive clicks, or cannot profitably scale Sponsored Products. Respect variation, IP, and creator-program rules and keep execution behind approval.

okhp3 Skill

Capture a recurring task as either a backlog entry or a new skill skeleton. Use when the user says "I keep doing X", "this is the third time", "make this a skill", "let's capture this", or at the natural end of a work session when a repeatable pattern just occurred. Extracts the pattern from conversation context (tools used, sequence of steps, input/output formats, corrections made) and produces either a BACKLOG.md line or a SKILL.md skeleton following this repo's conventions — not full skill authoring (that's skill-creator's job once a skeleton exists).

okhp3 Bundle

Generate a SIPOC table from a validated PNS. Use this skill when the user needs a high-level process summary showing Suppliers, Inputs, Process steps, Outputs, and Customers; when they ask to produce a SIPOC, create a process summary table, or generate a one-page process overview. This is a process-level input/output summary, not a stakeholder engagement register — for who is involved and how to engage them, use okhp3-stakeholder-and-role-mapping instead. Derives directly from PNS process_box and activity_sequence. Produces a sipoc.md Markdown table suitable for presentations, kickoff documents, and governance packs.

okhp3 Bundle

Draft a source-grounded stakeholder update for review from an agreed project, time window, and audience. Use when summarizing status, decisions, risks, milestones, or asks for stakeholders. Do not send, post, share, or represent unverified information as fact without explicit approval.

okhp3 Skill

Capture a recurring task as either a backlog entry or a new skill skeleton. Use when the user says "I keep doing X", "this is the third time", "make this a skill", "let's capture this", or at the natural end of a work session when a repeatable pattern just occurred. Extracts the pattern from conversation context (tools used, sequence of steps, input/output formats, corrections made) and produces either a BACKLOG.md line or a SKILL.md skeleton following this repo's conventions — not full skill authoring (that's skill-creator's job once a skeleton exists).

okhp3 Bundle

Turn unresolved questions and missing-content signals into a reviewable SharePoint List knowledge-gap draft. Use when a site team needs a visible, owned backlog of questions, impact, and proposed source research. Do not use to invent answers, perform external research, or create List items silently.

okhp3 Bundle

Author and validate a Process Narrative Specification (PNS) from a PIR and stakeholder register. Use this skill when you have a completed Process Intake Record from okhp3-process-intake-and-scope and need to produce a structured narrative document that anchors ISO 9001 §4.4.1 process-box semantics, BABOK Core Concept Model, RACI matrix, SIPOC table, business rules, decision points, KPIs, and controls. Do not use it when only a quick diagram is needed without governance structure — go directly to okhp3-visual-process-modeling for that. The PNS is the authoritative handoff input for okhp3-visual-process-modeling, okhp3-sop-work-instructions, okhp3-raci-governance-matrix, and okhp3-sipoc-generation.

okhp3 Bundle

Derive and validate a structured stakeholder register from a completed Process Intake Record. Use this skill when you have a PIR from okhp3-process-intake-and-scope and need to identify all affected parties, classify their roles, assess influence and interest, and define engagement strategies. Use when the user asks who is involved in a process, needs a RACI-ready role list, wants to understand stakeholder impact, or needs an engagement plan before narrative authoring begins. Produces a stakeholder engagement register, not a one-page process summary — for that, use okhp3-sipoc-generation instead.

contextgo Skill

Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.

contextgo Bundle

AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.

contextgo Skill

Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.

knuckles-team Bundle

Full self-hosted or enterprise infrastructure discovery pipeline. Scans an AgentConfig-managed inventory via tunnel-manager, discovers containers via configured runtime providers, maps networking and DNS, and ingests a privacy-safe topology snapshot into the Knowledge Graph. Use for a governed fleet topology refresh; do not use for ad hoc host probing.

legendtkl Skill

Automates the discovery of insights and patterns from various enterprise data sources, enhancing strategic planning.