35,491 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
One loop for clear knowledge work: check whether evidence is strong enough for the next action, shape the deliverable one useful question at a time, draft from an approved spec, review the result, and remember what you like. Missing decisions, evidence limits, readiness, and required human approval stay visible.
★not rated 5 1mo agoA
tokens not measured
originalMIT
Use when a coding task needs an objective-first long-running loop with fresh-context work and review phases, explicit acceptance criteria, resumable state, and real blocked handling.
Use when working in a coding project owned by a non-coder - when the project root contains CODESPLAIN.md, when the user invokes /codesplain (to bootstrap a project or ask a question), when a consequential technical decision comes up during building, or when explaining a bug or fix to the owner in plain language.
Produce rigorous, reusable Capability Maps from any input — transcripts, charters, spreadsheets, or industry reference models. Guided two-checkpoint elicitation, MECE validation, hierarchical taxonomy numbering, and XLSX + JSON export.
★not rated 5 4mo agoA
tokens not measured
CC-BY-SA-4.0
Create a construction plan for a multi-step engineering task that requires multiple PRs or a phased approach. Produces a self-contained plan file with dependency graph, review gates, and step-by-step execution instructions for coding agents. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex task…
Turn a contested question, research brief, technical choice, or high-impact decision into a source-grounded interactive evidence map. Use when an agent must preserve support, contradiction, qualification, and missing evidence; make every evidence edge traceable to a dated source region; pressure-test a conclusion; or…
Hierarchical persistent planning for complex multi-phase development tasks. Use when the user requests tasks involving multi-file modifications, architecture refactoring, system design, or any work requiring detailed planning (tasks exceeding 5 tool calls). Creates a hierarchical plan directory structure: overview.md…
Validate an AI-native startup idea before building. Use when a founder has a problem hypothesis, customer segment, early market thesis, or product idea and needs customer discovery, opportunity filtering, wedge selection, market mapping, risk identification, or an evidence plan before starting an MVP.
First-principles assumption auditor. Deconstructs any decision or belief into irreducible premises, classifies each assumption (fact / convention / belief / interest-driven), ranks them by fragility × impact, and rebuilds conclusions from verified ground truth. Bilingual: responds in the user's language (Chinese or…
Interactive onboarding that collects user context and configures the PM Operating System — rules, products, and MCPs. Use when user says "onboard", "setup", "PM-OS setup", or "get started".
Asks the questions an architect would ask: problem clarification, decision guidance, and failure analysis, recorded as plain markdown in your repo. Derived from Microsoft's Clarity Agent.
★not rated 5 3mo agoA
tokens not measured
originalMIT
Spend model capability like a scarce budget: the expensive model does only the work that is expensive to get wrong, every tier handoff crosses on a written spec, and a living playbook — not re-exploration — carries strategy between sessions.
Use when the user asks for deep business review of PRDs, requirement documents, product specs, feature proposals, or business process docs. Focus on understanding business model, modules, data relationships, flows, permissions, states, rules, omissions, contradictions, ambiguities, implementation risk, and…
Use when initializing a new project, setting up documentation structure, or creating project scaffolding with AGENTS.md and docs/ folder hierarchy for feature-based documentation. Also use when user asks to setup project documentation, generate docs structure, or create issue documentation for bugs and root cause…
Mandatory dispatch preflight before any subagent delegation. Use before the first child-work call in every task, and when starting Codex work that needs an explicit Direct vs Single/Parallel/Sequential choice: code edits, debugging, reviews, repo exploration, multi-file changes, ambiguous scope, high-risk judgment, or…
Relentlessly interrogate the user with short, rapid-fire clarifying questions before doing any work — like อาไท the toy-shop kid. Ask one tiny question at a time, keep branching into ever-finer detail, never quite starting the task. Use when the user says "artai", "อาไท", wants to get grilled with tiny questions, or…
Run a structured pre-task alignment interview for complex or ambiguous work. Use when the user asks to be grilled, wants questions before execution, requests requirements discovery or scope alignment, or when unresolved goals, constraints, tradeoffs, risks, or acceptance criteria could materially change a complex…
Roadmap and analysis of potential improvements, design trade-offs, and feature priorities. Use when planning new features, evaluating what to build next, or understanding why certain approaches were chosen or rejected.
You have access to Siftable, a shared evidence-backed work graph connecting human planning, executable agent work, projects, knowledge, relationships, calendar, code, governed actions, and verification.
Assess the repository's current AI context maturity and produce a prioritized action plan pointing to the agents that should run next.
★not rated 5 3mo agoA28 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: