Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/willthong-ask-matt
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ask-matt
What's inside
- Skill name
ask-matt- Description
- Ask which skill or flow fits your situation. A router over the skills in this repo.
- License
- MIT
- Instructions
- 95 lines in SKILL.md · view on GitHub
Files (3)
- PHASE-BOUNDARIES.md
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Ask Matt
You don't remember every skill, so ask.
Before stating what a skill does or recommending a step be skipped, read that skill's SKILL.md: the summaries here are for orientation only.
A **flow** is a path through the skills. Most paths run along one **main flow**, and two **on-ramps** merge onto it. Everything else is standalone, or a vocabulary layer that runs underneath.
## The main flow: idea → ship
The route most work travels. You have an idea and want it built.
1. **`/grill-with-docs`** sharpens the idea by interview. It's stateful, retaining what it learns in `GLOSSARY.md` and ADRs.
2. **Branch: can you settle every question in conversation?** If a question needs a runnable answer (state, business logic, a UI you have to see), detour through a prototype, bridged by **`/handoff`** in both directions (a prototype lives in its own directory, which is exactly what `/handoff` is for; see Phase boundaries):
- **`/handoff`** out, then open a fresh session against that file,
- **`/prototype`** to answer the question with throwaway code,
- **`/handoff`** back what you learned, and reference it from the original idea thread.
3. **Branch: is this a multi-session build?**
- **Yes** → **`/to-spec`** (turn the thread into a spec), then **`/to-tickets`** to split it into tracer-bullet tickets, each declaring its **blocking edges**. On a local tracker that's one file per ticket under `.scratch/<feature>/issues/`, worked blockers-first by hand; on a real tracker the edges become native blocking links, so any ticket whose blockers are done can be grabbed: kick off **`/implement`** per ticket, **`/clear`ing context between each one**. Each ticket is self-contained, so the last one's context is disposable.
- **No** → **`/implement`** right here, in the same context window.
Either way, **`/implement`** builds each issue by driving **`/tdd`** internally (one red-green slice at a time), then closes out by running **`/code-review`**, a two-axis review (Standards + Spec) of the diff, before committing. Reach for **`/tdd`** on its own when you just want to build a concrete behaviour test-first without a full spec, and **`/code-review`** on its own whenever you want to review a branch or PR against a fixed point.
When the work goes up as a pull request, **`/pr`** shapes the body: the smallest visual that shows the change, before/after evidence that it works, and a one-way or two-way door call. It's model-invoked, so the agent reaches for it whenever it writes a PR.
4. **`/retro`** closes the loop. After a build, and especially one that went sideways, it looks back over the session and suggests changes to the agent's **environment**, not the code: navigation pointers, automated checks, the coding standards `/code-review` enforces, steering files, tooling. Mechanical mistakes become deterministic checks; judgement calls become coding standards. The next build then starts from a better environment.
### Context hygiene
Keep steps 1–3 in **one unbroken context window** (don't compact or clear until after `/to-tickets`) so the grilling, spec, and tickets all build on the same thinking. Each `/implement` then starts fresh, working from the ticket. Run `/retro` in the session it's looking back on, before you clear; after clearing, point it at that session's log instead.
The limit on this is the **[smart zone](https://www.aihero.dev/ai-coding-dictionary/smart-zone)**: the window (~150k tokens on state-of-the-art models) within which the model still reasons sharply. If a session approaches it before `/to-tickets`, don't push on degraded; `/compact` at the nearest phase boundary and carry on (see Phase boundaries).
## On-ramps
A starting situation that generates work, then merges onto the main flow.
- **Bugs and requests piling up** → **`/triage`**. It moves issues through triage roles and produces agent-ready issues, which **`/implement`** later picks up.
Triage is only for issues **you didn't create**: bug reports, incoming feature requests, anything that arrives raw. Tickets that `/to-tickets` produced are already agent-ready, so **don't triage them**.
- **Something's broken** → **`/diagnosing-bugs`**. For the hard ones: the bug that resists a first glance, the intermittent flake, the regression that crept in between two known-good states. It refuses to theorise until it has a **tight feedback loop** (one command that already goes red on *this* bug), then fixes with a regression test. Once the fix is in, run **`/retro`** in the same session to ask what would have prevented the bug; where the real finding is that there's no good seam to lock it down, that's a job for **`/improve-codebase-architecture`**.
- **A huge, foggy effort: a greenfield project or a huge feature build, too big for one session** → **`/wayfinder`**, the most cognitively demanding flow here. When the way from here to the destination isn't visible yet, it charts a **shared map** of **decision tickets** on the issue tracker and resolves them one at a time, producing **decisions, not deliverables**, until the fog is pushed back and the way is clear. Where **`/grill-with-docs`** sharpens an idea you can hold in one session, wayfinder is for the idea you can't, and it's slower and denser, so save it for exactly that, never a well-scoped feature.
When the map clears, **it hands off, it doesn't build**: merge onto the main flow at **`/to-spec`**, which collapses the map's linked decisions into a buildable plan, then `/to-tickets` and `/implement` as usual. Looping the map straight into `/implement` skips that collapse and throws the linked detail away, so go straight to `/implement` only when the effort turned out genuinely small.
## Codebase health
Not feature work, just upkeep.
- **`/improve-codebase-architecture`** runs whenever you have a spare moment to keep the codebase good for agents to operate in. It surfaces **deepening opportunities**; picking one _generates an idea_ you can take into the main flow at `/grill-with-docs`. It's the survey that finds the candidates; **`/codebase-design`** (below) is the bench you design the chosen one on.
## Vocabulary underneath
Two model-invoked references that run *beneath* the other skills, each the single source of truth for its vocabulary. Reach for them directly when the **words**, not the process, are the problem; or let the skills above pull them in.
- **`/domain-modeling`**: sharpen the project's *domain* language: challenge a fuzzy term, resolve an overloaded word ("account" doing three jobs), record a hard-to-reverse decision as an ADR. It's the active discipline `/grill-with-docs` drives to keep `GLOSSARY.md` a clean glossary.
- **`/codebase-design`** is the deep-module vocabulary (module, interface, depth, seam, adapter, leverage, locality) for designing a module's *shape*: a lot of behaviour behind a small interface at a clean seam. `/tdd` and `/improve-codebase-architecture` both speak it.
## Phase boundaries
A **phase** is a chunk of work inside a session: the grilling, the implementation, the QA. At the **boundary** between two of them you have four options, and picking between them is the fuzziest decision in this whole map:
- **Continue**: stay put. Costs nothing, loses nothing.
- **`/clear`**: empty the window, when nothing here matters to what's next.
- **Subagent**: send a tightly-scoped task to its own window and get a report back.
- **`/compact`** compresses this context and seeds a fresh session with it. The **default**, at the bottom of the tree rather than the first reach.
Read [PHASE-BOUNDARIES.md](PHASE-BOUNDARIES.md) for the ordered tree: the five questions, the reasoning behind each branch, and why the primary-source cost makes **Continue** the one to rule out first. Make the decision **at** a boundary; mid-phase, continue or split the rest into subagents.
## Standalone
Off the main flow entirely.
- **`/grilling`** is the interview primitive itself: rounds, the frontier, facts are the agent's job and decisions are yours. `/grill-with-docs` is the named way in, and `/triage`, `/wayfinder` and `/improve-codebase-architecture` all run it internally. Reach for it directly only when you want the interview with no wrapper around it.
- **`/handoff`** compacts the current conversation into a markdown file for another agent to continue from: the one to reach for when the work is moving to a new harness, a new directory or repo, a colleague, or a side task forked off mid-phase. It's user-invoked, so it loads only when the human asks for it.
- **`/prototype`** is a small, throwaway program that answers one design question: does this state model feel right, or what should this UI look like. Throwaway is a constraint on how the code is written, not a promise to destroy it: the answer folds into the real code, and the prototype itself is kept as a **primary source** on a `prototype/<name>` branch out of main, pointed at from the implementation issue. It's the detour in step 2 of the main flow, but reach for it any time a design question is hard to settle on paper.
- **`/research`**: delegate reading legwork to a **background agent**: it investigates a question against **primary sources**, then leaves a cited Markdown file in the repo. Keep working while it reads. The file it produces is something to take *into* the main flow at `/grill-with-docs`, since research feeds the thinking rather than replacing it.
- **`/wizard`** is for the steps only a **human** can take: provisioning infrastructure, setting up credentials or CI secrets, clicking through an unfamiliar third-party dashboard, running a one-off migration or cutover. It generates an interactive bash script that opens each URL, captures each value, and writes it into `.env` and GitHub secrets, so the procedure stops being something you re-explain to an agent every time. Model-invoked, so the agent reaches for it the moment it hits a wall only you can pass. If the agent could just do it itself, it should; this is for where a human is genuinely in the loop.
## Reading and prose
Off the main flow, the work around the work:
- **`/defuddle`**: extract a web page's main content as clean markdown during research, whenever the user gives a URL to read, analyze, or summarize. Prefer it over fetching the raw page.
- **`/agent-reach`**: search and read across 10+ platforms (Twitter/X, Reddit, Facebook, Instagram, LinkedIn, YouTube, GitHub, RSS, web search) via the `agent-reach` CLI. Reach for it when the user wants to find or look something up online; a plain web-page URL goes to `defuddle` instead.
- **`/humanizer`**: strip AI-writing patterns from prose without changing what it says. It loads whenever a report or any prose is written, edited, or reviewed; run the result through it before handing a report over.
- **`/caveman`**: ultra-compressed terse replies that keep full technical accuracy. User-invoked (`disable-model-invocation`), so it loads only when the human types `/skill:caveman` — never on its own initiative.
## Precondition
**GitHub**: the engineering skills assume GitHub issues (via the `gh` CLI) and the canonical triage labels (`needs-triage`, `needs-info`, `ready-for-agent`, `ready-for-human`, `wontfix`).From willthong/agent-skills, MIT.
More from willthong/agent-skills
- 0.565score
implement
willthong
Run the implement loop: dispatch fresh pi subagents to build each ticket as a red-green vertical slice, then run the full suite, review the diff, and commit.
SkillAFreshness: AClaude Code +9 - 0.539score
code-review
willthong
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: AClaude Code +9 - 0.539score
codebase-design
willthong
Shared vocabulary for designing deep modules.
SkillAFreshness: AClaude Code +9 - 0.539score
domain-modeling
willthong
Build and sharpen a project's domain model.
SkillAFreshness: AClaude Code +9 - 0.539score
tdd
willthong
Test-driven development.
SkillAFreshness: AClaude Code +9 - 0.536score
improve-codebase-architecture
willthong
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
SkillAFreshness: AClaude Code +9 - 0.530score
retro
willthong
Conduct a retrospective on a coding session.
SkillAFreshness: AClaude Code +9 - 0.529score
agent-reach
willthong
Search and read across 10+ internet platforms — Twitter/X, Reddit, Facebook, Instagram, LinkedIn, YouTube, GitHub, RSS, and web search — via the agent-reach…
SkillBFreshness: BClaude Code +9 - 0.528score
handoff
willthong
Compact the current conversation into a handoff document for another agent to pick up.
SkillAFreshness: AClaude Code +9 - 0.524score
humanizer
willthong
Rewrite AI-sounding text so it reads naturally without changing what it says.
SkillBFreshness: BClaude Code +9 - 0.522score
run-implement
willthong
Run the implement loop.
SkillAFreshness: AClaude Code +9 - 0.521score
defuddle
willthong
Extract clean markdown from any web page using the Defuddle CLI, stripping navigation, ads, and clutter to save tokens.
SkillBFreshness: BClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 12, 2026 (16 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/willthong/agent-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from willthong
- 0.565score
implement
willthong
Run the implement loop: dispatch fresh pi subagents to build each ticket as a red-green vertical slice, then run the full suite, review the diff, and commit.
SkillAFreshness: AClaude Code +9 - 0.539score
codebase-design
willthong
Shared vocabulary for designing deep modules.
SkillAFreshness: AClaude Code +9 - 0.539score
code-review
willthong
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: AClaude Code +9 - 0.539score
domain-modeling
willthong
Build and sharpen a project's domain model.
SkillAFreshness: AClaude Code +9 - 0.539score
tdd
willthong
Test-driven development.
SkillAFreshness: AClaude Code +9 - 0.536score
improve-codebase-architecture
willthong
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
SkillAFreshness: AClaude Code +9
Cite this page
ask-matt skill. Agent Mart. https://agentmart.dev/skills/willthong-ask-matt (last updated 2026-10-24)