Yesterday-AI

@yesterday-ai source repo

57 skills
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15 hours ago last updated

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Plan Task · yesterday-ai
Flesh out a single task within the current slice. Reads M###-S##-PLAN.md, picks the next unplanned task, writes M###-S##-T##-PLAN.md with exact file paths + verification steps. Enforces fits-one-context-window rule. Run after slice-milestone, before executing the task.

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Oss Project · yesterday-ai bundle
Scaffold, polish, and publish open-source projects with AI-first documentation, governance, and CI. Use when: Starting a new OSS package, polishing/publishing an existing repo, setting up AGENTS.md / CONTEXT.md / DECISIONS.md / ROADMAP.md, onboarding AI agents to a codebase, or creating standard community files (README, LICENSE, CONTRIBUTING, CHANGELOG, CI pipelines, issue templates). Outputs repo description and tags at the end.

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Init Project · yesterday-ai
Scaffold a ytstack project's `.ytstack/` directory with the 6 core artifacts (PROJECT.md, DECISIONS.md, KNOWLEDGE.md, RUNTIME.md, STATE.md, PREFERENCES.md). Use AFTER a pitch has been validated via office-hours (and optionally plan-ceo-review / plan-eng-review in concept-mode) -- init-project reads OFFICE-HOURS.md frontmatter to populate PROJECT.md name + one-liner. Do NOT use as the greenfield entry-point for unvalidated ideas; run office-hours first.

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Office Hours · yesterday-ai
Use as the first step when a new project, feature, or initiative has not yet been validated, or whenever the premise needs a forcing-question test. Six forcing questions expose demand reality, status quo, desperate specificity, narrowest wedge, observation, and future-fit. Produces OFFICE-HOURS.md pitch artifact with name + one-liner frontmatter that downstream skills (plan-ceo-review concept-mode, init-project, plan-milestone) consume. Thin ytstack wrapper around the vendored gstack office-hours procedure.

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Atomic Design · yesterday-ai
Atomic Design methodology for structuring React/Next.js component libraries. Defines five levels (atoms, molecules, organisms, templates, pages) with hard import rules, classification tests, and anti-patterns. Use when creating, reviewing, or restructuring frontend components.

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Using Ytstack · yesterday-ai
Establishes how agents find and invoke ytstack skills. Requires Skill-tool invocation before any response when a ytstack skill applies. Auto-injected by the SessionStart hook. Not meant for direct user invocation.

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Plan Milestone · yesterday-ai
Plan the next milestone: goal, exit criteria, rough size. Creates M###-CONTEXT.md and M###-ROADMAP.md. Run after init-project has scaffolded `.ytstack/`, before slice-milestone. Draws the goal from a validated pitch when available (OFFICE-HOURS.md or prior milestones); if no pitch exists yet in greenfield, prefer office-hours first so the milestone is grounded in real demand. Updates STATE.md with the new current_milestone.

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Resume Session · yesterday-ai
Reconstruct working context at the start of a new session. Reads STATE.md + HANDOFF.md (if present) + latest 3 T##-SUMMARY.md files and synthesizes a 'where we are' briefing. Run at session start before doing anything else.

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Summarize Task · yesterday-ai
After executing a task, write its outcome summary. Reads M###-S##-T##-PLAN.md, prompts for what happened, writes M###-S##-T##-SUMMARY.md, flips checkbox in slice-plan, updates STATE.md. Optionally stages git. Run once per task completion.

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Handoff Session · yesterday-ai
User-triggered session handoff. Writes a detailed HANDOFF.md with current state, open items, pending decisions, and recommended resume prompt. Use before switching machines, before long breaks, or when you need to clear context intentionally. Parallel to the automatic pre-compact hook.

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Plan Ceo Review · yesterday-ai
Challenge premise, scope, and ambition via four modes: SCOPE EXPANSION, SELECTIVE EXPANSION, HOLD SCOPE, SCOPE REDUCTION. Auto-detects mode: concept-mode reviews a pitch (OFFICE-HOURS.md) before any scaffolding exists; milestone-mode reviews a committed milestone (M###-CONTEXT.md + M###-ROADMAP.md) before slicing. Use concept-mode right after office-hours to stress-test the pitch; use milestone-mode after plan-milestone and before slice-milestone. Thin ytstack wrapper around the vendored gstack plan-ceo-review procedure.

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Plan Eng Review · yesterday-ai
Review execution approach for feasibility, architecture, data flow, edge cases, test coverage, performance, and security risks. Auto-detects mode: concept-mode reviews a pitch (OFFICE-HOURS.md) for technical feasibility before any scaffolding; milestone-mode reviews slice-plans (M###-S##-PLAN.md) before plan-task. Use concept-mode optionally after plan-ceo-review to sanity-check the pitched approach; use milestone-mode after slice-milestone to lock architecture before implementation. Thin ytstack wrapper around the vendored gstack plan-eng-review procedure.

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Slice Milestone · yesterday-ai
Break the current milestone into slices. Reads M###-ROADMAP.md, asks for slice content until all slices are filled. Creates M###-S##-PLAN.md per slice. Enforces 1-7 tasks per slice (iron rule). Run after plan-milestone, before plan-task.

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Reassess Roadmap · yesterday-ai
After a slice completes, review whether the milestone roadmap still fits reality. Reads recent summaries, surfaces deviations, prompts for roadmap changes (add/split/reorder/remove slices). Run at slice boundaries, not mid-slice.

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Spawn Milestone Team · yesterday-ai
Dispatch the current milestone's slices to a Claude Code Agent Team. Each teammate works on a slice in parallel with its own 200k context (replaces GSD's fresh-subprocess-per-task pattern). Requires CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 and v2.1.32+. Run after slice-milestone + plan-eng-review.

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Systematic Debugging · yesterday-ai
Root-cause debugging in four phases: investigate, analyze, hypothesize, implement. Iron Law -- no fixes without root cause. Thin ytstack wrapper around the vendored superpowers systematic-debugging procedure, routing findings into KNOWLEDGE.md / DECISIONS.md. Use when hitting a bug, test failure, or unexpected behavior.

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Deutschland Stack API · yesterday-ai
Use when picking technologies for German public-sector projects (Bund/Länder/Kommunen), EU digital sovereignty contexts, or when user mentions Deutschland-Stack / DS-konform / Verwaltungs-IT. Biases tech choices toward the 128 graduated open-source standards catalogued by the German government. Fetches live data from technologie.deutschland-stack.gov.de.

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Software Craftsmanship · yesterday-ai bundle
Clean code, robust architecture, no test slop. Foundational skill for high-quality software engineering, code structure, and reviews.

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Test Driven Development · yesterday-ai
RED-GREEN-REFACTOR: write a failing test, watch it fail, write minimal code, watch it pass, commit. Thin ytstack wrapper around the vendored superpowers test-driven-development procedure, injecting the current task's plan as context. Use during task execution.

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Check Consistency · yesterday-ai
Audit ytstack internal consistency. Compares README (source of truth) against docs/concept.md, .ytstack/DECISIONS.md, and actual plugin content (skills/, hooks/, agents/, artifacts). Reports drift: missing or extra skills, workflow mentions that do not resolve to real skills, trigger-map gaps, hook-list mismatches, skill-count drift, banned-words hits. Run before approving doc changes or after a vendor subtree pull. Does not fix anything -- humans decide how to reconcile.

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European Alternatives API · yesterday-ai
Use when picking software for EU customers, GDPR-driven replacements, digital-sovereignty contexts, or when user asks for the European / open-source version of a US product (Google Drive, Dropbox, Slack, …). Biases tech choices toward the 289 community-curated alternatives at european-alternatives.cloud. Fetches live data. Complements deutschland-stack-api (community-curated vs. government-graduated).

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Verification Before Completion · yesterday-ai
Run verification commands and confirm output before claiming work is complete. Evidence before assertions. Thin ytstack wrapper around the vendored superpowers verification-before-completion procedure, injecting the current task's verification command. Use before commit, before PR, before summarize-task, before any 'done' claim.

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Wrapup · yesterday-ai bundle
Generic end-of-conversation sweep -- works in any project, at any point. Looks at what the current repo actually has (docs, planning files, agent context, changelog, ADRs, memory layers...) and proposes which of them to extend with the learnings, decisions, and follow-ups that surfaced in the conversation. Then prepares a paste-ready resume prompt for after /compact. Use when the user says "wrapup", "wrap up", "wrap things up", "lass uns wrappen", or before /compact.

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Vrr Efa API · yesterday-ai bundle
Live-Fahrplanauskunft für den VRR (Verkehrsverbund Rhein-Ruhr) via EFA API. Abfahrten, Verbindungen, Haltestellen -- Echtzeit, kostenlos, kein API Key. Use when: user asks for train/bus/tram connections, departures, or transit info in NRW/Ruhrgebiet. Also works for DB Regionalverkehr in the region.

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Audit Skills · yesterday-ai bundle
Audit this repo's skills + plugins on three axes -- (1) leaks of personal info or Yesterday-internal references in user-facing artifacts, (2) catalog consistency (folder/name/dep/install-target alignment), (3) plugin-spec compliance (Claude Code + Cursor manifest schemas, layout rules). Reports findings as a triage list; does not auto-fix. Use before publishing, before merging skill PRs, or as a periodic hygiene pass.

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X Reader · yesterday-ai bundle
Read Twitter/X posts, threads, and articles. Handles login walls and JS rendering. Use when a user shares an x.com or twitter.com link.

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Webflow · yesterday-ai
Manage Webflow sites via the official Webflow MCP server -- pages, CMS, assets, components, styles, variables, custom code, comments, localization, and publishing. Covers the headless Data API tools and the Designer API tools (which need the Webflow Designer open in the foreground). Use when: reading, auditing, or editing a Webflow site; building or duplicating pages; managing CMS collections or assets; or adding legal/marketing pages. This plugin ships the Webflow MCP server; just authenticate (OAuth).

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Miro Board · yesterday-ai bundle
Create and read Miro board content via MCP tools. Diagrams (flowcharts, mindmaps, UML, ER), documents (markdown), tables, and context extraction. Use when: user asks to create or read diagrams, documents, or tables on Miro boards, or to extract structured content from existing boards. Requires: Miro MCP server connected (npx miro-mcp).

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Web Design · yesterday-ai bundle
Build distinctive, production-grade frontend interfaces with high design quality. Use when asked to build websites, landing pages, dashboards, web apps, or any web UI that should look polished and modern. Generates creative, polished code that avoids generic AI aesthetics. Includes Yesterday corporate identity briefing for branded reports and deliverables.

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Paperclip API · yesterday-ai bundle
Manage Paperclip AI companies, agents, issues, projects, goals, routines, costs, and secrets via REST API. Use when creating companies, hiring agents, assigning tasks, managing budgets, approving hires, or checking dashboards on a Paperclip instance.

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Web Scraper · yesterday-ai bundle
Extract content from any web page. Provides a tiered approach from lightweight fetch to full browser rendering. Use when web_fetch fails or pages require JavaScript.

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Using Github · yesterday-ai
Operating policies for safe GitHub interaction via the `gh` CLI and `git`. Use this skill before any PR edit, comment, branch operation, push, or merge interaction. Covers state-before-action checks, force-push discipline, squash-merge divergence handling, and verification that mutations actually landed.

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Exa Search API · yesterday-ai bundle
Semantic web search via Exa AI API. Returns full-text content, not just snippets. Use for deep research, competitor analysis, or finding specific technical content.

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Figma Console MCP · yesterday-ai bundle
Connect AI agents to Figma via the Figma Console MCP server. Enables design system extraction, UI component creation, variable/token management, visual debugging, FigJam boards, and Slides presentations. Use when an agent needs to read, create, or modify Figma designs programmatically.

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Excalidraw Diagram · yesterday-ai bundle
Create Excalidraw diagram JSON files that make visual arguments -- workflows, architectures, concepts. Use when the user wants to visualize systems, processes, or ideas as .excalidraw files. Covers design methodology, section-by-section building, render-validate loop, and quality checklist.

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Voxtral Tts API · yesterday-ai bundle
Text-to-speech via Mistral Voxtral TTS API. Generate natural, emotionally expressive speech in 9 languages. Supports voice cloning from 3s audio samples, preset voices, streaming, and cross-lingual synthesis. Use when you need to generate speech, narrate content, create voice messages, or build voice agents.

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Create Shareable Skill · yesterday-ai bundle
Turn an existing skill or a fresh idea into a catalog-ready shareable skill -- run the quality gate, decide public-vs-private catalog and standalone-vs-bundle placement, pick the category, scaffold SKILL.md (+ optional .plugin.json), update the catalog docs, and open a PR to main. Use when adding a new skill to this repo, promoting a personal or ad-hoc skill into a shareable one, or routing a skill into the right catalog.

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Agent Swarm · yesterday-ai bundle
Orchestrate specialized coding agents in isolated worktrees for parallel development tasks.

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Creative Productivity · yesterday-ai bundle
Generate professional consulting deliverables: Excalidraw diagrams, Mermaid visualizations, Reveal.js/Marp presentations, draw.io architecture diagrams, one-pagers, and proposal documents. Use when a user asks for visual artifacts, slides, diagrams, architecture visuals, consulting documents, pitch decks, workshop materials, or any creative deliverable for client-facing or internal use. Covers the full "Consulting as Code" creative pipeline.

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Slack Best Practices · yesterday-ai
A collection of formatting rules, emoji quirks, and communication etiquette for Slack. Use when composing messages for Slack to ensure correct rendering and team-friendly communication.

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Opentofu · yesterday-ai
OpenTofu Skill 🥚

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Project Engine · yesterday-ai
Autonomous project execution engine for AI agents. Orchestrates scheduled cron jobs per project using workflow templates (dev-autonomous, research, ops). Integrates PR-Gate, GitHub workflow, ROADMAP tracking, and human notification via project-tracking. Use when: setting up scheduled project work, running an autonomous session, or designing an agent's development loop. Builds on forward-momentum (philosophy) and implements it as a concrete system.

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Self Improving · yesterday-ai bundle
Corrections become improvements. Memory that self-improves.

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Para Memory Files · yesterday-ai bundle
File-based memory system using Tiago Forte's PARA method. Use this skill whenever you need to store, retrieve, update, or organize knowledge across sessions. Covers three memory layers: (1) Knowledge graph in PARA folders with atomic YAML facts, (2) Daily notes as raw timeline, (3) Tacit knowledge about user patterns. Also handles planning files, memory decay, weekly synthesis, and recall via qmd. Trigger on any memory operation: saving facts, writing daily notes, creating entities, running weekly synthesis, recalling past context, or managing plans.

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Github Workflow · yesterday-ai
Standardized Git + GitHub workflows for AI agents. Branching, committing, PRs, reviews, CI checks.

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Capability Check · yesterday-ai
Discover available tools, sub-agents, and skills at session start or when unsure about capabilities.

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Forward Momentum · yesterday-ai
Foundational philosophy for autonomous agent work. Breaks analysis paralysis and enforces tangible output per interaction. Use when: a conversation feels circular, a session risks ending without an artifact, or an agent needs a reminder to act instead of plan. Generic -- applies to any domain or toolchain.

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Github Pr Review · yesterday-ai
Qualified, critical code reviews using GitHub's pending review API. Inline comments, verification, and validation.

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Project Tracking · yesterday-ai
Standardisiertes Projekt-Tracking für Yesterday KI-Agenten. Use when: setting up a new agent workspace, responding to a status request from another agent or a human team member, or aggregating fleet-wide project status. Covers: PROJECTS_TRACKING.md structure, YAML frontmatter, responsibility matrix, status definitions, and the Project Status Report format.

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Pm Patrol Routine · yesterday-ai
Project Manager patrol for GitHub repos. Triages new issues, reviews PRs for completeness (not code quality), verifies fixes match issue requirements, closes resolved issues, and coordinates between engineer and reviewer. Integrates with issue-patrol-routine (Scotty) and review-patrol-routine (Rémy).

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Butler Deploy · yesterday-ai
Publish or update an HTML5 game on itch.io via the butler CLI. Covers install, login, channel push with versioning, and first-time page setup. Use when deploying a web game build (e.g. dist/) to an itch.io channel.

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Railway Deploy · yesterday-ai bundle
Deploy, manage, and debug services on Railway via the Railway CLI. Covers authentication, project + service creation, env variables, private networking, logs, and config-as-code. Use whenever creating, deploying, or troubleshooting Railway services. See references/ for the full CLI command reference and a Next.js+Prisma deploy recipe.

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Agentic News Digest · yesterday-ai
End-to-end skill for curated team news digests. Covers the full pipeline: team inbox (manual submissions & co-authored drafts), source aggregation (RSS, Twitter, GitHub, web search), research & fact-checking, relevance scoring, article formatting (5 templates), and scheduled delivery to Slack/Discord/WhatsApp. Handles the critical handoff between conversational sessions (where links are received) and isolated cron sessions (where digests are built).

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Issue Patrol Routine · yesterday-ai bundle
Periodic scan of GitHub repos for open issues. Classifies issues into actionable queues (new, needs-clarification, ready-to-implement, in-progress, blocked) and persists state across heartbeat cycles. Use when an engineering agent needs to autonomously discover and triage work.

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Issue To Pr Workflow · yesterday-ai bundle
End-to-end workflow for turning a GitHub issue into a merged PR. Covers issue analysis, branch creation, implementation, PR with reviewer assignment, and handling review feedback loops. Use when an engineering agent picks up an issue from a patrol queue and needs to implement it.

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Systemic Persistence · yesterday-ai
Zwingt den Agenten dazu, aus gelösten Problemen nachhaltig zu lernen. Stellt sicher, dass Fixes Reboots überleben, dokumentiert sind und nicht zu neuen Problemen (wie vollen Festplatten) führen.

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Review Patrol Routine · yesterday-ai bundle
Deterministic, stateful PR review patrol for GitHub repos. Use when an agent must review pull requests periodically instead of opportunistically, keep persistent patrol state across resets, classify new-review vs re-review queues, and drive heartbeat-based review cycles with explicit repo scope.

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57 published skills