Product & Planning

pjt222 Skill

Audit and repair Claude Code discovery symlinks for skills, agents, and teams. Compares registries against .claude/ directories at project and global levels, detects missing, broken, and extraneous symlinks, distinguishes almanac content from external projects, and optionally repairs gaps. Use after adding new skills or agents, after a repository rename or move, when slash commands stop working, or as a periodic health check.

pjt222 Skill

Validiertes computergestuetztes System am Ende seines Lebenszyklus ausser Betrieb nehmen. Umfasst Datenaufbewahrungsbewertung nach Vorschrift, Datenmigrations-Validierung (Mapping, Transformation, Abgleich), Archivierungsstrategie, Zugangssperrung, Dokumentenarchivierung und Benachrichtigung der Stakeholder. Anzuwenden wenn ein validiertes System ersetzt wird, ohne Ersatz das Lebensende erreicht, der Anbieterssupport eingestellt wird, mehrere Systeme konsolidiert werden oder regulatorische Aenderungen ein System obsolet machen.

knownasnaffy Bundle

Extract metadata from Xiaohongshu (XHS) share or discovery URLs by parsing window.__INITIAL_STATE__ and returning note details. Use when asked to fetch XHS page content, note metadata, video info, or engagement stats from a public XHS link.

knownasnaffy Bundle

Captures business administration issues, policy gaps, KPI misalignment, decision delays, handoff failures, and stakeholder misalignment to improve operational decision quality. Use when: (1) approval or execution bottlenecks appear, (2) KPI definitions conflict across teams, (3) process governance is inconsistent, (4) SLA commitments are missed or trending late, (5) budget variance requires triage, (6) vendor or cross-team handoff breaks, (7) policy documentation drifts from actual practice.

knownasnaffy Bundle

Agent-to-agent discovery network. Register agents with capability cards, discover peers by skill/domain, perform trust-scored handshakes, and run a FastAPI discovery server. Enables agents to find each other, negotiate, and form teams without human orchestration. Use when building multi-agent systems, agent marketplaces, or peer-to-peer agent collaboration.

knownasnaffy Bundle

Run single-pass job discovery as a fully self-contained skill using a bundled profile, bundled config, and a JobSpy-backed local search pipeline. Use when an agent needs to find and collect jobs from the skill’s own profile/config context, save raw live results, normalize job records, and render a summary. Do not use for ranking, applications, resume tailoring, tracking, or interview preparation. Fail clearly if the environment or live backend is unavailable.

knownasnaffy Bundle

No-nonsense task manager using SQLite. Track tasks with statuses (backlog, todo, in-progress, done), descriptions, and tags. Use when managing personal tasks, to-do items, project tracking, or any workflow that needs status-based task organization. Supports adding, listing, filtering, updating, moving, and deleting tasks.

knownasnaffy Bundle

Set up and manage an Obsidian task board with Kanban + Dataview. Creates a Tasks/Board.md pipeline (Backlog/Todo/In Progress/Review/Done), per-task notes with YAML frontmatter (status/priority/category/due), and dashboards via Dataview queries. Use for task tracking, moving cards between columns, keeping board + frontmatter in sync, and linking tasks to supporting notes/research.

knownasnaffy Bundle

人力行政总监智能助理。适用于科技公司后方（HR/行政/法务/财务支持）业务场景。 当用户提出以下类型需求时，应使用此 skill： - 提出后方业务需求、想法、流程改进诉求 - 起草或生成文件（规章制度、通知、合同、HR文书、审批表单、工作报告、OKR/KPI） - 分析和整理现有文档 - 梳理或设计业务流程（招聘、入职、离职、绩效、报销、采购、行政审批） - 制定人力资源政策或管理制度 - 整理会议纪要、周报、汇报材料 - 需要了解公司后方部门需求、业务逻辑和常见操作规范 触发词：人事规定、HR文件、入职、离职、绩效、薪酬、考勤、招聘、制度、行政管理、 公司规章、员工手册、审批流程、报销流程、采购申请、办公室管理、劳动合同、 生成通知、起草方案、需求分析、流程设计、文档模板、制度建设、OKR、KPI、 部门规划、人员编制、组织架构、后方业务、帮我写、帮我起草、写一个、做一个方案

knownasnaffy Bundle

Install and enforce a lightweight product-management workflow inside a code repo: feature-as-kanban boards, ROADMAP status tracking, branch/PR conventions, and an optional daily OpenClaw cron PM review. Use this skill when (1) starting work in a NEW repository/project that does not yet have a ROADMAP+feature-KANBAN system, (2) you are delegated to spin up a new project and want multi-agent coordination from day one, or (3) you are asked to fix/restructure an existing repo and introduce an organized backlog/feature tracking system. Also use when adding a daily PM audit loop (cron) to keep code + docs + PRs in sync.

knownasnaffy Bundle

Full Massive (Polygon) market-data connector with secure local key handling. Starts the official MCP server and supports endpoint discovery, endpoint docs, generic API calls, SQL-style table querying, and post-processing functions, plus quick scripts for common quote checks. Use for stock/options/forex/crypto/indices real-time or historical queries sourced from Massive.

knownasnaffy Bundle

Create, refactor, and improve Codex-compatible skills with gated requirement discovery, reusable resource planning, executable scaffolding scripts, and validation. Use when building a new skill, tightening an existing SKILL.md, adding scripts/references/assets, or redesigning a skill around tool-wrapper, generator, reviewer, inversion, or pipeline patterns.

knownasnaffy Bundle

Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams.

knownasnaffy Bundle

Optimize ecommerce product listings for Amazon A9, Taobao/1688 search, JD search, TikTok Shop discovery, Xiaohongshu SEO, and Shopify storefront search using keyword density frameworks, attribute-completeness checklists, and conversion-trap detection. Use when sellers need a listing audit, keyword refresh, or conversion improvement brief without live search analytics or platform API access.

knownasnaffy Bundle

Chinese-market client-intelligence safety layer for lead-discovery skills. Use for any lead-gen / customer-investigation output targeting a Chinese company (A股 / 港股 / 科创板 / 创业板 / 北交所 / 中概股 / Tushare / 巨潮 / 天眼查 / 企查查). Enforces UTF-8 literal Chinese text, lexicon lookup for recurring terms, tier-ordered data sources, inline source citations for every hard number, and no-fabrication on missing data. Pairs with the stable `aigroup-financial-services-openclaw` plugin's `cn-client-investigation` skill for downstream banker deliverables.

knownasnaffy Bundle

Production-grade multi-agent team orchestration framework. Define agent roles, task pipelines, quality gates, and monitoring dashboards. Inspired by Google Vertex AI, Microsoft AutoGen, CrewAI, and Anthropic agent patterns. Features: role-based agent registry, task lifecycle (backlog→assigned→in-progress→review→done→deployed), structured handoffs with context passing, quality gates before promotion, centralized state store (single JSON source of truth), quota/budget management, cron-based monitoring with alerts, rollback capability, and human-in-the-loop approval points. Use when: (1) managing 3+ specialized agents on a project, (2) building CI/CD-style pipelines for content or code, (3) tracking task progress across multiple agents, (4) enforcing quality standards before deployment, (5) monitoring agent performance and output quality, (6) managing rate limits and quotas across accounts. multi-agent orchestration, team management, task pipeline, quality assurance, agent coordination, project management, CI/CD

knownasnaffy Bundle

Use this skill when users need to search academic papers, download research documents, extract citations, or gather scholarly information. Triggers include: requests to "find papers on", "search research about", "download academic articles", "get citations for", or any request involving academic databases like arXiv, PubMed, Semantic Scholar, or Google Scholar. Also use for literature reviews, bibliography generation, and research discovery. Requires OpenClawCLI installation from clawhub.ai.

knownasnaffy Bundle

Discover hidden APIs behind web pages and replace expensive browser snapshots with lightweight API calls. Saves ~15-20x tokens and 2x speed on browser automation tasks. **Use when:** (1) You just completed a browser snapshot workflow and want to optimize it (2) User asks to "find the API" or "make this faster" for a browser task (3) A snapshot is too large, truncated, or unreliable (4) You need structured data from a web page (tables, lists, details) (5) User mentions "api discovery", "snapshot to api", "browser optimization"

jeremylongshore Skill

Analyses the current project across code quality, feature gaps, documentation, security, competitive landscape, and monetisation opportunities, then files prioritised GitHub issues. Use when the user says improve this, analyse this project, find improvements, or fill the backlog.

knownasnaffy Bundle

Work report generator. 工作汇报生成器、周报生成、工作周报、每周总结、weekly report、周报模板、周报怎么写、日报生成、工作日报、daily report、日报模板、月报生成、月度总结、monthly report、项目汇报、年终总结、年度总结、annual review、站会汇报、standup report、OKR报告、工作总结、述职报告、季度总结、Q1Q2Q3Q4总结、项目复盘、经验教训、改进措施、project review、retrospective。Generate daily/weekly/monthly/project/annual reports, standup updates, OKR reports, and project reviews. Use when: (1) writing daily/weekly/monthly work reports, (2) generating project progress updates, (3) preparing annual review summaries, (4) standup/scrum meeting updates, (5) OKR-format work reports, (6) project retrospectives with lessons learned, (7) any work report or work summary generation. 适用场景：写日报、写周报、写月报、项目进展汇报、年终总结、站会汇报、OKR复盘、述职报告、季度总结、项目复盘报告。支持多种格式和风格，中英双语可选。

projectious-work Skill

Generates clear, structured status updates for stakeholders — from project context, backlog state, or a brief description of recent work. Use when asked to write a status update, weekly report, progress summary, or team briefing about a project or initiative.

diegosouzapw Bundle

Write PRDs, specs, and project context optimized for coding assistants (Claude Code, Cursor, Copilot, Custom GPTs). Includes CLAUDE.md generation, session planning, and templates for creating documentation that tools can execute effectively.

comeonoliver Skill

Product Discovery — From Assumptions to Evidence

diegosouzapw Bundle

Install and initialize task-master for AI-powered task management and specification-driven development. Use this skill when users ask you to parse a new PRD, when starting a new project that needs structured task management, when users mention wanting task breakdown or project planning, or when implementing specification-driven development workflows.

diegosouzapw Bundle

Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.

johnalbertini14-glitch Bundle

Bloom Discovery — understand how you learn, decide, and build. Get a personalized builder profile + tool recommendations for the AI era.

johnalbertini14-glitch Bundle

P2P bot discovery for OpenClaw agents

holobiomicslab Skill

Use when you have a collection of tandem mass spectrometry spectra in mzML or similar format and need to prepare them for LDA-based motif discovery.

holobiomicslab Skill

Use when after obtaining in silico annotations from SIRIUS (Zodiac/Cosmic scores) or ISDB (cosine/shared peaks metrics), before using the annotation table for Feature Component calculation, chemical class assignment, or metabolite discovery prioritization.

holobiomicslab Skill

Use when when you need to reconstruct or validate the control-flow architecture of a spectral search system that must handle both exact-match library lookups and analogue discovery in a single pass, particularly when the system uses pre-computed embeddings for efficiency and machine learning for.

holobiomicslab Skill

Use when when building an extensible converter framework where new converter implementations (e.g., WebConverters or ComputeConverters for external chemical services) should be automatically discovered and registered without modifying a central registry.

holobiomicslab Skill

Use when when searching an unknown MS/MS spectrum against a spectral library and you need to rapidly identify the most relevant candidate library spectra before applying cascade scoring with false discovery rate control.

holobiomicslab Skill

Use when you have raw MS/MS spectral data in one or more standard mass spectrometry file formats (.mgf, .msp, or .mzML) and need to convert them into a standardized bag-of-fragments representation for unsupervised topic modeling or substructure discovery workflows.

holobiomicslab Skill

Use when you have processed LC-MS/MS spectral data (as a .mgf file with feature identifiers) and computed pairwise ms2deepscore similarity scores, and you need to create a 2-D projection suitable for dashboard visualization or high-level pattern discovery without losing similarity structure.

holobiomicslab Skill

Use when you have untargeted metabolomics data (e.g., LC-MS/MS spectra) and need to organize compounds by structural relatedness to enable structure discovery for unknown metabolites.

holobiomicslab Skill

Use when you have raw MS/MS spectral data in standard mass spectrometry formats and need to prepare it for unsupervised substructure discovery via topic modeling.