All Skills

Use the model-recommender skill, Workflow D (Setup Questionnaire), to configure model access and project-level preferences.

Use the release-audit skill to run the pre-release validation sweep and print

Session-start meta-skill that enforces the 1% rule: before any action on a processkit entity or context/ file, if there is even a 1% chance a processkit skill applies, you MUST check skill-finder first. Load this skill at the start of every session that may involve processkit work. Use when beginning a new task, when unsure which skill applies, or when you are about to edit context/, create an entity, or run an MCP tool.

Create and maintain TeamMember entities — humans and named AI personas that participate in the project with persistent identity, personality, and tiered memory. Use when adding a new persistent team-member (human or named AI), managing the name pool, scaffolding memory trees, or exporting/importing a team-member bundle. Replaces the deprecated actor-profile skill (DEC-20260422_0233-SpryTulip).

Generates a post-release blameless retrospective from project signals — synthesizing DORA-like metrics, WorkItem outcomes, session timeline, and drift deltas into a structured Artifact + LogEntry. Use at the end of a release cycle when asked to run a retro, "post-release review", "retrospective", or "post-mortem".

Manage Gate entities — validation checkpoints that WorkItems, scopes, or policy applications must pass (code review, security scan, tests). Use when defining or updating a checkpoint for v2 workflow surfaces — code review, tests green, security scan, stakeholder approval.

Generates a concise status briefing after session-start reconciliation — synthesizing current state, open decisions, key risks, and today's priority actions. Use at session start, for "pk-resume", a briefing, catch-up, or today's focus.

Write an end-of-session handover LogEntry capturing current state, open threads, next action, and git context for session continuity.

Provider-neutral processkit MCP gateway. Use when a harness should see one processkit MCP surface while processkit keeps per-skill servers canonical and available.

Legacy/migration guidance for v1 Schedule entities. In v2, define recurring cadences as Binding(type=time-window) records with recurrence conditions instead of creating new Schedule records.

Manage Constraint entities — rules and limits the project must respect (budget, latency SLO, team size, compliance). Use when recording a rule, limit, or boundary that affects decisions — budget ceiling, latency SLO, regulatory requirement, team bandwidth.

Conventions and helpers for lightweight relationships between entities expressed as frontmatter references (not first-class Binding entities). Use when linking two entities with a simple, unscoped, untemporal relationship — 'this work item blocks that one', 'this decision relates to that work item'. For scoped/temporal relationships, use binding-management instead.

Write a Product Requirements Document structured with problem statement, goals, user stories, scope, and success metrics.

Data pipeline patterns — ETL/ELT, batch vs streaming, idempotency, orchestration. Use when designing a data pipeline, choosing between batch and streaming, implementing ingestion or transformation, setting up orchestration, or debugging pipeline failures.

Writing effective project documentation — READMEs, API doc comments, and inline comments that explain why. Use when writing or improving documentation — READMEs, doc comments, inline comments, or when code lacks explanation for non-obvious behavior.

Alert design and on-call practices — severity, runbooks, SLO burn-rate alerting, escalation. Use when designing alerts, writing runbooks, reducing alert fatigue, setting up escalation policies, implementing SLO-based alerting, or improving on-call processes.

Retrieval-Augmented Generation pipelines — ingestion, chunking, embedding, vector stores, retrieval, evaluation. Use when building a RAG pipeline, choosing chunking strategies or embedding models, debugging retrieval quality or hallucinations, evaluating an existing RAG system, or scaling/migrating vector stores.

Structured code review with a checklist covering correctness, clarity, tests, security, performance, and style. Use when reviewing a PR, diff, or set of code changes before merging — including phrases like "review this", "check my changes", or "is this ready to merge".

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Documentation and capabilities reference for Daily

Vector-powered CLI for semantic file search with a Claude/Codex skill

Use the `gh` CLI for issues, pull requests, Actions runs, and GitHub API queries.

Guide for continuous improvement, error proofing, and standardization. Use this skill when the user wants to improve code quality, refactor, or discuss process improvements.

Design and improve revenue operations, lead lifecycle rules, scoring, routing, handoffs, and CRM process automation. Use when marketing, sales, and customer success workflows need clearer operational structure.

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Write idiomatic C++ code with modern features, RAII, smart pointers, and STL algorithms. Handles templates, move semantics, and performance optimization.

Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers.

Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.

Generate UX microcopy in StyleSeed's Toss-inspired voice for buttons, empty states, errors, toasts, confirmations, and form guidance.

Master of defensive Bash scripting for production automation, CI/CD pipelines, and system utilities. Expert in safe, portable, and testable shell scripts.

Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong.

Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production.

Generate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlays

Full-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.

Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via the AgentMail API.