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britt/britts-agent-skills

v7.4.1MIT

Skills for AI-assisted development: project setup, product specs, user stories, verification plans, daily planning, and more

architecture-diagramming

Use when the user asks for an architecture diagram, says 'show me the system architecture' or 'diagram the components', or during project planning - generates GitHub-compatible Mermaid flowcharts showing components, layers, subgraph boundaries, and data flows

at-risk-detection

Use when asked about project health, stale or blocked issues, deadline risk, or scope creep - scans GitHub issues and PRs with heuristics (staleness, blocked labels, milestone dates, size, unassigned high-priority) and produces a severity-ranked at-risk report

build-faq-from-issues

Use when building or updating an FAQ from closed GitHub issues, documenting recurring support questions, or reducing repeat questions - extracts common questions from resolved issues and generates a categorized FAQ document with synthesized answers and source links

context-aware-questions

Use when asked 'what am I missing?', reviewing an issue or draft before submission, or checking documentation completeness - detects requirement, spec, and doc gaps and generates prioritized actionable questions

daily-planning-ritual

Use when the user asks to plan their day with phrases like "plan the day", "plan my day", "plan today", or similar variations, or wants a morning check-in on how to spend the day across work and the rest of their life.

dependency-mapping

Use when asked to map issue dependencies, show what blocks what, or find the critical path through project work - reads GitHub issues for blocked-by/depends-on signals and generates Mermaid flowcharts of blocking chains

estimating-change-footprint

Use when writing or refining a GitHub issue that needs a cost estimate, when asked to estimate, size, budget or forecast agent spend on work, or when deciding whether an item is an issue or an epic - gives an issue a change footprint (expected lines changed and expected files read, each in a bucket) that predicts coding-agent token spend, recorded as labels, a Footprint section, and a project field

estimating-work-items

Use when writing or refining a GitHub issue, epic, or other work item that needs a size, when asked to estimate, point, or size work, or when deciding whether an item is an issue or an epic - gives an issue one story-point estimate on a powers-of-two scale (1, 2, 4, 8) and an epic the sum of its children's points, with no upper limit, recorded as a label, an Estimate section, and a project field

idea-to-design

Use when asked to turn an idea note into a design document, plan an idea, or make an idea real - autonomously researches the idea and produces Design.md, Decisions.md, and Research.md in an Ideas/<Idea Name>/ folder, asking zero questions

issue-decomposition

Use when the user says 'create issues for...', 'break this into tasks', or 'decompose this feature', or when converting a project description into GitHub issues - produces 5-15 INVEST-quality issues with user stories, acceptance criteria, dependencies, labels, and powers-of-two point estimates

markdown-formatting

Use when writing PR descriptions, issue bodies, documentation, or notes - applies consistent Markdown conventions (heading levels, list markers, code-block languages, link text) and provides PR and issue templates

mermaid-diagrams

Use when creating any Mermaid diagram (flowchart, sequence, class, state, ER, Gantt) in markdown, or when a diagram fails to render on GitHub - covers the syntax rules that break GitHub rendering (parentheses in labels, mismatched brackets) plus per-type examples

prepare-meeting-agenda

Use when preparing an agenda for sprint planning, a retrospective, standup or sync, or a project check-in - gathers context from recent issues, PRs, and notes, groups topics, assigns owners and time boxes, and outputs a structured agenda

project-analysis

Use when starting work on an unfamiliar codebase or asked to 'analyze this project' - maps structure, project type, architecture pattern, key files, and dependencies into a standard report

project-planning

Use when the user says 'build a project plan', 'help me plan X', 'break down this project', or 'scope out this feature' - orchestrates issue-decomposition, architecture-diagramming, dependency-mapping, and timeline-planning to produce GitHub issues, diagrams, and a saved plan document

repairing-project-setup

Use when a repo's agent setup may be broken, half-finished, or drifted - a setting-up-a-project run failed partway, CLAUDE.md or AGENTS.md is thin or missing sections, leftover {{PLACEHOLDER}} text, AGENTS.md is a symlink, the instruction files disagree, or agents behave inconsistently in the repo - audits the project against what setting-up-a-project would generate today and repairs only the gaps, preserving existing content

requirement-elicitation

Use when gathering project requirements, or when a user says 'help me define requirements' or 'figure out what to build' - adaptive wizard covering functional, nonfunctional, constraints, and edge cases with domain-specific questions for web apps, APIs, CLIs, mobile, and data pipelines

research-topic-summarize

Use when asked to research a technology, library, or concept via web search, compare options (X vs Y), or gather background for a decision - synthesizes findings into a cited summary with comparison tables, screenshots of key visuals, and a recommendation

setting-up-a-project

Use when setting up a new project for coding agents, when a repo has no CLAUDE.md or AGENTS.md, or when starting work on an empty codebase - surveys the repo, interviews the user, and authors CLAUDE.md plus an AGENTS.md tuned for Codex CLI, OpenCode, and Cursor, covering project purpose, tech stack, commands, TDD rules, and development practices

sgai-goal

Use when starting a new feature, project, or bug fix in a repository that uses SGAI - interactively composes a GOAL.md with agent flow graph, model preferences, completion gate, and outcome-based success criteria

stakeholder-tracking

Use when identifying project stakeholders, asked 'who are the stakeholders', checking whether a plan covers all stakeholder goals, or linking GitHub issues to stakeholder needs - maintains persona profiles (goals, pain points, priorities) and generates goal-to-issue coverage reports with gaps

stakeholder-updates

Use when writing status updates, communicating delays or blockers, announcing launches, or requesting decisions and resources from stakeholders - structures the message by audience level (exec/management/peer/team) with lead-with-the-punchline framing

summarize-conversation-thread

Use when catching up on a long GitHub issue or PR discussion thread, or asked to summarize a thread, extract key decisions, or list action items - produces a structured summary with TL;DR, decisions, action items, open questions, and next steps

supervising-conductor-workspaces

Use when asked to dispatch Conductor workspaces for a list of issues and then watch them until their PRs merge - "dispatch workspaces for issues 310-315 and monitor them", "keep the open PRs up to date with main", "tell green PRs to merge", "archive workspaces once their PR merges", "babysit the open PRs". Spins up one Conductor workspace per issue, runs a poller over the repo's open PRs, nudges owning agents when their PR falls behind the base branch, resolves merge conflicts, reruns transient CI failures, tells green PRs to merge, and archives each workspace once its PR lands. Not for implementing a single issue or coordinating the children of one epic. Works for any GitHub repo; uses the conductor and gh CLIs.

supervising-paradev-workspaces

Use when asked to dispatch Paradev workspaces for a list of issues and then watch them until their PRs merge - "dispatch workspaces for issues 310-315 and monitor them", "keep the open PRs up to date with main", "tell green PRs to merge", "archive workspaces once their PR merges", "babysit the open PRs". Spins up one Paradev workspace per issue, runs a poller over the repo's open PRs, nudges owning agents when their PR falls behind the base branch, resolves merge conflicts, reruns transient CI failures, tells green PRs to merge, and archives each workspace once its PR lands. Not for implementing a single issue or coordinating the children of one epic. Works for any GitHub repo; uses the paradev and gh CLIs.

timeline-planning

Use when asked for a project timeline, schedule, sprint plan, or Gantt chart, or after breaking work into issues - converts issue estimates and dependencies into a Mermaid Gantt chart with phases, milestones, and critical path

triage-new-issues

Use when processing new or untriaged GitHub issues - assesses urgency from keyword and label signals, assigns P0-P3 priority, suggests labels and assignees, and flags issues needing escalation or clarification

working-on-an-epic

Use when asked to work on, implement, drive, or coordinate a GitHub epic, parent issue, or tracking issue whose work is split into child issues, and separate agent workspaces are available to implement them - you coordinate, the children implement

working-on-an-issue

Use when asked to work on, read, or implement a GitHub issue - hands-off workflow (understand, scoped recon, verification plan, implementation plan, implement, verify, PR) with no mid-flow approval gates; assumptions are documented in the plan and PR, and developer review happens on the pull request

writing-product-specs

Use when asked to write a product spec, PRD, or requirements document, or to design a new feature or project before implementation - interactively elicits problem, audience, success criteria, and scope, then produces a structured spec file

writing-user-stories

Use when asked to write user stories, define requirements, break a feature into stories, or draft product/feature issues - produces stories in "As a [persona], I want [action], so that [benefit]" format with Given-When-Then acceptance criteria and an INVEST quality checklist

writing-verification-plans

Use when a project lacks VERIFICATION_PLAN.md, when finishing setting-up-a-project, or when asked how to prove a feature works end-to-end - writes real-system acceptance scenarios (no mocks) with success criteria and a pass/fail verification log