Product & Planning

serejaris Bundle

OKR 制定/拆解/复盘教练。当用户提到以下场景时触发：OKR、目标管理、关键结果、OKR制定、OKR拆解、OKR复盘、OKR检查、OKR对齐、季度目标、objectives and key results、目标拆解、KR制定、OKR评分、OKR改进。即使用户只是说'帮我写个OKR''这个OKR写得好不好''帮我复盘一下这个季度的OKR''目标怎么拆解'，也应触发。

junmystery 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.

junmystery Skill

Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.

junmystery Skill

Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.

junmystery 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.

serejaris Bundle

向上汇报与跨部门沟通助手，根据受众角色（CEO、VP、技术负责人或运营）自动调整信息粒度、语言风格和侧重点，生成邮件、汇报要点或文档。当用户提到向上汇报、跨部门沟通、stakeholder update、executive summary、管理层汇报、给老板/VP/CEO写邮件简报、技术团队同步、运营侧对齐、写汇报材料或项目进展同步时触发。

serejaris Bundle

将产品需求可视化为交互式HTML用户故事地图，按Epic → Feature → Story三层结构组织，支持MoSCoW优先级色标和版本发布划线分组。当用户提到用户故事地图、story mapping、需求地图、epic feature story、backlog可视化、MoSCoW优先级、release planning、版本规划地图、产品路线图可视化，或直接说“帮我画一张故事地图”、“把需求按版本排列出来”时触发。

serejaris Bundle

从零散的工作记录和 git log 生成结构化的周报或月报，支持数据导向、叙事型和 OKR 对齐等多种汇报风格。当用户提到周报、月报、工作总结、weekly report、monthly report、sprint summary、迭代总结、写周报、写月报、OKR 进展汇报，或需要把散乱的工作记录整理成结构化报告时触发。

serejaris Skill

列出和管理 GitLab 工作项（任务、OKR、关键结果、史诗）。适用于使用标准 Issue 之外的 GitLab 工作项类型。触发词：work items、任务、OKR、关键结果、史诗列表、工作项列表。

yogsoth-ai Bundle

Map stakeholder Jobs-to-be-Done — functional, emotional, and social jobs for each affected party. Identifies unserved jobs as opportunity signals.

yogsoth-ai Bundle

Apply Checkland's CATWOE analysis from a specific stakeholder perspective to reveal how the problem looks from that viewpoint.

yogsoth-ai Skill

Multi-source cross-validation of gap authenticity — cross-database search, temporal sensitivity testing, false-gap filtering, stakeholder confirmation.

yogsoth-ai Skill

Map all affected parties using CSH 12-question framework, identify jobs-to-be-done, classify by salience. Reveals whose perspective is systematically excluded.

yogsoth-ai Bundle

Search for positive deviants and extract transferable principles using Appreciative Inquiry.

yogsoth-ai Skill

Multi-dimensional gap scoring and ranking — define criteria, score, weight, rank, sensitivity-check. Combines multi-criteria-scoring, stakeholder-confirmation, and feasibility assessment.

yogsoth-ai Bundle

Simulate stakeholder perspectives to validate gap priorities. Assesses gap value from researcher, practitioner, funder, and end-user viewpoints.

yogsoth-ai Skill

Apply CATWOE from multiple stakeholder viewpoints and reframing matrix to reveal aspects invisible from the dominant perspective.

yogsoth-ai Skill

Identify research gaps via PICOS frameworks, concept matrices, evidence gap maps, keyword extraction, citation analysis, and topic modeling. Systematic discovery of what is missing in the literature.

yogsoth-ai Skill

Score and rank validated gaps on importance, feasibility, novelty, and urgency. Multi-criteria decision analysis with stakeholder confirmation.

the-utopia-studio Bundle

Splits a buying situation into four distinct people — user (feels the pain, touches the product), buyer (owns the budget line), decision-maker (final signature / veto), champion (spends internal capital to push it) — each pinned to ONE title, ONE budget (or an explicit none), ONE why-now. Fires on "who's the actual buyer", "who decides", "map the stakeholders", "map the buying committee", "the user loves it but who signs the cheque", "who's our champion and who can veto us". Output is a filled Stakeholder-Role Map that feeds the buyer-clarity row of problem-quality-scorecard. NOT the 8-dimension go/no-go (problem-quality-scorecard), NOT ranking which unmet need to build first (unserved-needs-finder), NOT a demographic day-in-the-life persona (proto-persona), NOT simulating users before interviews (synthetic-users).

the-utopia-studio Skill

Framework-driven feature and initiative prioritization using RICE, ICE, or weighted scoring. Grounds prioritization in strategic pillars and demands evidence-based scoring. Trigger phrases: "prioritize features", "prioritization", "rank these initiatives", "RICE score", "ICE score", "what should we build next", "prioritize my backlog"

the-utopia-studio Bundle

Stands up ONE living opportunity tree fed by three live inputs and keeps it current after launch. Fires when a fellow says "set up discovery", "continuous discovery", "opportunity tree", "keep learning after launch", or "discovery after launch". Returns an opportunity tree (outcome → opportunities → solutions → tests) wired to customer interviews, production traces, and eval telemetry — each feed stamped with its evidence rung, its cadence, and a named synthesis owner. NOT for scoring one signal's rung (use evidence-ladder), picking which probe tests one question (use probe-matrix), or running a single customer interview (use tacit-knowledge-interview).

sairam0424 Skill

Passive domain reconnaissance using Python stdlib. Subdomain discovery, SSL certificate inspection, WHOIS lookups, DNS records, domain availability checks, and bulk multi-domain analysis. No API keys required.

sairam0424 Skill

Plan, set up, and monitor a multi-agent video production pipeline backed by a Kanban pipeline. Use when the user wants to make ANY video — narrative film, product/marketing, music video, explainer, ASCII/terminal art, abstract/generative loop, comic, 3D, real-time/installation — and the work warrants decomposition into specialized profiles (writer, designer, animator, renderer, voice, editor, etc.) coordinated through a kanban board. Performs adaptive discovery to scope the brief, designs an appropriate team for the requested style, generates the setup script that creates agent profiles + initial kanban task, then helps monitor execution and intervene when tasks stall or fail. Routes scenes to whichever rendering / audio / design skill fits each beat (`ascii-video`, `manim-video`, `p5js`, `comfyui`, `touchdesigner-mcp`, `blender-mcp`, `pixel-art`, `baoyu-comic`, `claude-design`, `excalidraw`, `songsee`, `heartmula`, …) plus external APIs for TTS, image-gen, and image-to-video as needed.

sairam0424 Skill

Add phase to end of current milestone in roadmap

sairam0424 Skill

Add an idea to the backlog parking lot (999.x numbering)

sairam0424 Skill

Remove a future phase from roadmap and renumber subsequent phases

sairam0424 Skill

Review and promote backlog items to active milestone

yogsoth-ai Bundle

Simulate multiple stakeholder perspectives evaluating a research gap, method, or proposal. Identifies blind spots from single-perspective analysis.

drmoisan Skill

Invoke the prd-feature worker to produce feature-document outputs from issue and research inputs.

drmoisan Skill

Invoke the prd-feature worker to produce feature-document outputs from issue and research inputs.

drmoisan Skill

Umbrella sequencing skill for the domain-neutral legacy discovery and parity-definition workflow. Use when onboarding or running the end-to-end discovery workflow across inventory, coverage, runtime characterization, parity, behavior reconciliation, and the validation gate, and when reconciling upstream analyzer and agent contract names. Holds the canonical Referenced Contracts registry.

drmoisan Skill

Produce or refresh the parity matrix in the discovery workflow. Use when building the parity matrix from feature contracts and runtime characterization evidence and routing parity reasoning to the parity role. Fifth stage, after runtime characterization and before behavior reconciliation.

drmoisan Skill

Drive the language-neutral repository and project inventory analyzer for the discovery workflow. Use when running the inventory stage against the domain profile source and target roots, recording analyzer outputs under the profile artifacts root, and running stack-specific analyzers generically per the profile technology stack. Second stage after profile load.

drmoisan Skill

Produce feature contracts and the coverage ledger from inventory output in the discovery workflow. Use when deriving the feature contract set and the migration coverage ledger from the repository inventory and routing coverage review to the coverage role. Third stage, after inventory and before runtime characterization.

drmoisan Skill

Canonical validation-gate mechanics for the discovery workflow. Use when running the per-artifact discovery validators after each stage and the completion gate at the end, interpreting the empty-error-list pass semantics, and routing any validator error back to the owning stage skill. Seventh and final stage.