Product & Planning

hashgraph-online-awesome-codex-plugins Skill

Use after design approval for milestone plans with executable acceptance.

hashgraph-online-awesome-codex-plugins Skill

Find the right doc before reading code. Use when asked "where is X documented", "is there a spec/ADR for X", "what's the roadmap", "open bugs", "read the docs about X", or "share the docs".

hashgraph-online-awesome-codex-plugins Skill

Phase 0: Onboarding. Define genre, reader, language, scope, and voice; capture the author's voice fingerprint; index source material; generate PRD.md and STYLE.md.

hashgraph-online-awesome-codex-plugins Bundle

Use when designing, building, or reviewing tools that an AI agent will call: MCP server tools, function-calling schemas, agent toolkits, runtime tools, or an API being wrapped for an LLM. Covers classifying a tool (query, command, discovery; sync or async; atomic to orchestrated), the four rules every tool must satisfy, a pre-ship checklist, and an audit procedure for an existing tool set. Routes deeper work to tool-design-interface, tool-design-output, tool-design-errors, tool-design-composition, tool-design-execution, and tool-design-security. Trigger phrases: "design a tool", "tool schema", "MCP tool", "function calling", "agent can't figure out which tool", "review my tools", "why does the agent keep retrying".

hashgraph-online-awesome-codex-plugins Bundle

Strategic SEO planning for new or existing websites. Industry-specific templates, competitive analysis, content strategy, and implementation roadmap. Use when user says "SEO plan", "SEO strategy", "SEO planning", "content strategy", "keyword strategy", "content calendar", "site architecture", or "SEO roadmap".

hashgraph-online-awesome-codex-plugins Skill

BABOK v3 business analysis agent for IT projects in manufacturing, distribution, and services. Drives a 9-stage pipeline (Stage 0 charter gate + Stages 1–8) with human approval gates, Short Rationale + Evidence methodology, and MCP project lifecycle tools. Use when the user says "BABOK", "begin new project", "business analysis", "requirements elicitation", "stakeholder mapping", "business case", "gap analysis", or wants structured BA deliverables.

hashgraph-online-awesome-codex-plugins Skill

产品需求文档(PRD)的标准编写格式和内容要求，确保输出完整、清晰、可执行的产品文档

hashgraph-online-awesome-codex-plugins Bundle

Use when shaping a set of agent tools rather than one tool: bundling common sequences into task tools, batch variants, preview and dry-run modes, abstraction ladders from raw to intent-level, explicit tool chains, scatter-gather across sources, and how agents discover tools (registry, layered schema exploration, dependency hints, capability search, health checks). Also covers gateways, adapters for legacy APIs, canonical models, and versioning. Trigger phrases: "too many tools", "agent calls the same three tools every time", "bundle these operations", "batch tool", "dry run mode", "tool discovery", "wrap this legacy API", "tool versioning".

hashgraph-online-awesome-codex-plugins Skill

Detect which MCP servers, Claude Code plugins, and CLI tools are available in the current environment, so kits and build sites can bind to real capabilities instead of imagined ones. Runs via /ck:init --tools-only or `cavekit-tools.cjs discover`. Writes .cavekit/capabilities.json. Trigger phrases: "what do we have available", "what's installed", "detect tools", "can we use X", "setup tools".

hashgraph-online-awesome-codex-plugins Bundle

Give Codex lasting project context in a local Obsidian-compatible Markdown vault. Use when a user asks PMC to set up or connect the project's Obsidian vault, scan or explain a codebase, create a Project Home, remember a decision, constraint, discovery, procedure, debugging lesson, or current state, recall what Codex already knows, prepare a handoff, check whether notes are stale or contradictory, relate code to knowledge, keep something session-only, export or share reviewed context, or resume work from existing project notes.

hashgraph-online-awesome-codex-plugins Skill

MUST use before brainstorming, visual companion, Pencil/Figma, or implementation when a user gives a rough product, feature, app, website, landing page, brand site, front-end design draft, or "do not develop yet" goal. Draft the first structured requirement contract and fixed workspace before design or implementation.

hashgraph-online-awesome-codex-plugins Bundle

MUST use first when Codex works on a product, feature, app, website, landing page, brand site, admin system, backend, database, API, front-end design draft, Pencil/Figma design, full-stack implementation, or any rough goal needing requirements, architecture, design, implementation, verification, or requirement-change handling. When brainstorming also applies, this skill's requirement-discovery and fixed workspace run before brainstorming, visual companion, Pencil/Figma, or code.

hashgraph-online-awesome-codex-plugins Skill

Create a fresh ROADMAP.md by scanning the repo and asking the user 3 minimal questions. Groups tasks by phase and code area. Never overwrites an existing ROADMAP.md.

hashgraph-online-awesome-codex-plugins Skill

Update ROADMAP.md truthfully based on real code. Full-scan the repo, evaluate evidence per task, propose a diff for user approval. Never flips [x] without verifiable evidence in code.

lord1egypt Bundle

Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.

lord1egypt Bundle

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

lord1egypt Bundle

PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.

lord1egypt Bundle

Use when the user is doing AI/ML work in a scientific domain — biology, chemistry, physics, astronomy, climate, genomics, materials science, medicine, ecology, energy, conservation, engineering, mathematics, scientific reasoning, drug discovery, protein design, weather modeling, theorem proving, single-cell, PDE solving, or anything similar. Hugging Science (huggingscience.co) is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces; the `hugging-science` org on Hugging Face hosts community datasets, models, and demo Spaces. This skill helps you discover the right resource AND actually use it — loading datasets via `datasets`, running models via `transformers` or the HF Inference API, calling Spaces like BoltzGen via `gradio_client`, and citing blog posts for methodology. Trigger this skill whenever a user mentions a scientific ML task, asks for "a dataset/model for X" where X is a scientific topic, wants to fine-tune on scientific data, asks about protein / molecule / genome /

lord1egypt Bundle

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.

lord1egypt Skill

Reference guidance for finding MCP connectors during plugin customization, using search and suggestion tools, mapping categories to keywords, and writing .mcp.json entries

leoyeai-openclaw-master-skills Bundle

Crypto trading: swap, perps, transfer, pay, deposit (credit card / crypto), withdraw, AI chat, market discovery, x402 payment, autopilot. Built-in wallet via Minara CLI. EVM + Solana.

leoyeai-openclaw-master-skills Bundle

Orchestrix multi-agent workflow guide for OpenClaw. Defines two operational phases: (1) Planning Phase — sequential agent orchestration in a single tmux window from project-brief through PRD, UX spec, architecture, to PO shard; (2) Development Phase — automated multi-window tmux collaboration via HANDOFF. Includes tmux send-keys protocol, task completion detection, and supplementary flows (bug fix, iteration, brownfield, change management).

leoyeai-openclaw-master-skills Bundle

Vendor-agnostic ACL and firewall rule analysis with shadowed rule detection, overly permissive rule identification, unused rule discovery, redundant rule flagging, and rule ordering optimization. Covers ACLs (Cisco/JunOS/EOS) and firewall policies (PAN-OS/FortiGate/CheckPoint).

leoyeai-openclaw-master-skills Bundle

Create beautiful, zero-dependency HTML presentations that run entirely in the browser — no npm, no build tools. 21 curated style presets with named layout variations, visual style discovery with live previews, viewport-fitted slides, inline browser editing, Presenter Mode, and optional PPTX export. Content-type routing suggests the best style for pitch decks, dev docs, data reports, and more. Supports --plan (outline), --generate (HTML from plan), and --export pptx flags.

leoyeai-openclaw-master-skills Bundle

Connect to and operate Power Automate cloud flows via a FlowStudio MCP server. Use when asked to: list flows, read a flow definition, check run history, inspect action outputs, resubmit a run, cancel a running flow, view connections, get a trigger URL, validate a definition, monitor flow health, or any task that requires talking to the Power Automate API through an MCP tool. Also use for Power Platform environment discovery and connection management. Requires a FlowStudio MCP subscription or compatible server — see https://mcp.flowstudio.app

leoyeai-openclaw-master-skills Bundle

Agile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use for writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing backlog.

leoyeai-openclaw-master-skills Bundle

Open security platform for agentic infrastructure — broad scanning plus MCP discovery, CVEs, blast radius, SBOMs, CIS benchmarks (AWS, Azure, GCP, Snowflake), OWASP/NIST/MITRE compliance, AISVS v1.0, MAESTRO layer tagging, and vector database security checks. Use when the user mentions vulnerability scanning, MCP server trust, compliance, SBOM generation, CIS benchmarks, blast radius, or AI supply chain risk.

leoyeai-openclaw-master-skills Bundle

Element discovery game — AI agents combine elements, first discoveries become tokens on Base chain via Clanker

dicklesworthstone-pi-agent-rust Skill

Web search and content fetching using Linkup extension. Use when needing to search the web, get answers to questions with sources, or fetch content from specific URLs. Provides three tools: linkup_web_search (discovery), linkup_web_answer (direct answers), linkup_web_fetch (URL content extraction).

dicklesworthstone-pi-agent-rust Bundle

Create or update Pi skills (SKILL.md plus optional scripts, references, or assets). Use when someone asks to design a new Pi skill, refine an existing one, or structure skills for Pi discovery or packaging.

leoyeai-openclaw-master-skills Bundle

Operate Upbit public exchange market APIs through UXC with a curated OpenAPI schema, market-first discovery, and explicit private-auth boundary notes.

pjt222 Skill

One to three sentences describing what this skill accomplishes, followed by key activation triggers. This field is the primary mechanism agents use to decide whether to activate the skill — it is read during discovery before the full body is loaded. Start with a verb. Include the most important "when to use" conditions inline. Max 1024 characters.

pjt222 Skill

Close out a finished memex milestone slice by writing the handoff trail: update `docs/CONTINUE_HERE.md` §1 current-state and §3 next-slice, tick the `docs/ROADMAP.md` scoreboard (milestone header ✅ + version, `- [x]` items), confirm any new observation is logged (deferring to memex-observe), and propose the git tag plus a `MN Slice X:` commit subject. Use after you finish a milestone slice in the memex repo and before you commit/tag it, when handing the next slice to a fresh session, or whenever CONTINUE_HERE and ROADMAP have drifted behind what actually shipped.

pjt222 Skill

Plan a sprint by refining backlog items, defining a sprint goal, calculating team capacity, selecting items, and decomposing them into tasks. Produces a SPRINT-PLAN.md with goal, selected items, task breakdown, and capacity allocation. Use when starting a new sprint in a Scrum or agile project, re-planning after significant scope change, transitioning from ad-hoc work to structured sprint cadence, or after backlog grooming when items are ready for inclusion.

pjt222 Skill

Create a new agent definition file following the agent-almanac agent template and registry conventions. Covers persona design, tool selection, skill assignment, model choice, frontmatter schema, required sections, registry integration, and discovery symlink verification. Use when adding a new specialized agent to the library, defining a persona for a Claude Code subagent, or creating a domain-specific assistant with curated skills and tools.

pjt222 Skill

Create and maintain a product or project backlog with prioritized items, acceptance criteria, and estimates. Covers user story writing, MoSCoW prioritization, backlog grooming, item splitting, and status tracking. Use when starting a new project and converting scope into actionable items, during ongoing grooming before sprint planning, re-prioritizing after stakeholder feedback or scope changes, or splitting oversized items into implementable pieces.