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Use when reporting a finding about code to the user during grilling, grill-with-docs, or systematic-debugging, and when drafting or rewriting prose for a…

Skill by HundredBillion

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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.

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About

Use when reporting a finding about code to the user during grilling, grill-with-docs, or systematic-debugging, and when drafting or rewriting prose for a human reader (Slack, Jira, PR, email). Pairs plain-language meaning with exact technical anchors so a non-developer can follow and the developer can decide.

Use cases: productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/say

What's inside

Skill name
say
Description
Use when reporting a finding about code to the user during grilling, grill-with-docs, or systematic-debugging, and when drafting or rewriting prose for a human reader (Slack, Jira, PR, email). Pairs plain-language meaning with exact technical anchors so a non-developer can follow and the developer can decide.
License
MIT
Instructions
77 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Say — Communicate Clearly to a Human

`say` governs *how* you communicate to a person. It has two modes. **The audience/destination selects the mode — not the subject matter.**

- Explaining something about the code **to the developer, in-session, so they can decide** → **code-findings mode**.
- Drafting or rewriting a message **addressed to a person on a human channel** (Slack, Jira, PR, email) → **general-prose mode** — even when the subject is a bug.

When genuinely ambiguous, ask one short clarifying question before writing.

`say` is a **communication style** you layer on at the moment you communicate — not a template that replaces the structure of whatever skill you are running.

## Code-findings mode

Use when explaining code to the developer so they can decide. The full form is four beats:

1. **Headline** — the plain bottom line: what it means for the product or user.
2. **What this code does** — one or two sentences of context, so the reader needs no prior familiarity with the file.
3. **What's wrong** (or **What's happening**, for non-bug findings) — split into two registers:
   - *Plain:* the consequence in human terms.
   - *Technical:* exact file / function / line range and the precise mechanism.
4. **Your call** — the decision, as options. Each option reads: **plain choice** *(technical action)* — trade-off.

**Governing principle — pair, don't pick.** Every finding carries *both* registers, woven together, never one at the expense of the other. The *Technical* line is the load-bearing anchor: always name specific code so the finding is decidable — never "somewhere in the payment flow."

### Worked example

> **Failed payments are being reported as successful.**
>
> **What this code does:** `PaymentService.charge()` is the step that actually bills a customer's card. When a charge fails, it is supposed to retry a few times before giving up.
>
> **What's wrong:**
> - *Plain:* If every retry fails, the code still acts like the payment worked — so a customer could get their order without paying.
> - *Technical:* `charge()` lines 40–52 — the retry loop catches and discards every exception, so after retries are exhausted the method returns normally instead of propagating the failure.
>
> **Your call** — two options:
> - **Block the order** *(fail hard, propagate the error)* — safer, nobody slips through unpaid.
> - **Let it through, flag for review** *(catch → emit `PaymentFailed` to the review queue)* — friendlier to the customer, but someone has to staff the queue.

### Layering onto other skills

`say` is invoked by other skills at the moment they communicate about code; it does not replace their structure.

- **systematic-debugging** reports findings (root cause, hypothesis) → use the **full four-beat**.
- **grilling / grill-with-docs** ask questions → "Your call" is already the question, so do not force the four-beat. Use only the **explanatory beats** (beats 2–3: *what this code does* / *what's happening*, paired registers) to set up the question, then ask the question in grilling's own format.

## General-prose mode

Use when drafting or rewriting a message addressed to a human reader. Plain, concise prose a non-developer understands. Apply these rules (from plainlanguage.gov):

1. Write for the reader, not yourself. Lead with what they need.
2. Main point first. No throat-clearing ("I wanted to mention that…").
3. Active voice. Name the actor.
4. Short sentences, one idea each.
5. Common words over fancy ones (use → utilize, about → regarding, start → commence).
6. No hidden verbs ("decide", not "make a decision").
7. Avoid jargon, or define it on first use.
8. Cut hedging and filler ("basically", "just", "I think", "in order to" → "to").
9. Concrete over abstract — name the system, the number, the action.
10. Read it aloud. If you would not say it to a coworker, rewrite it.

**"No technical detail" means no code-level detail** — no file / function / line numbers, no `charge()`-style anchors. It does **not** mean omitting scope or impact: which systems are affected, what you are doing, and what the reader should do stay in.

### Worked example

> *Input:* "i found a bug in krypton and i'm fixing it now but there's a chance that it will impact argon, and helium"
>
> *Output:* **Heads up:** I found a bug in Krypton and I'm fixing it now. There's a chance the fix touches Argon and Helium too — I'll flag here if either is affected. No action needed from anyone yet.

(Argon and Helium stay — naming the affected systems is content, not jargon.)

### Input / output behavior

- A brief or topic → generate a fresh draft. Existing text (or a file of text) → rewrite in place, then add a one-line note on the biggest change.
- Default to ready-to-paste prose — no "Here's a draft:" preamble.
- Match the medium (Slack → casual; PR → markdown sections; email → greeting + body) and the user's voice if a sample is given.

From HundredBillion/dmi_superpowers, MIT.

More from HundredBillion/dmi_superpowers

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Stars
3
Forks
0
Open issues
0
Last commit (this folder)
Jun 19, 2026 (4 months ago)
Last release
Oct 18, 2026 (12 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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say skill. Agent Mart. https://agentmart.dev/skills/hundredbillion-say (last updated 2026-10-24)