Steno Mode
GitHubOfficialFirst committed by AkashAi7Distributed by GitHub
- Skill
- Role or persona
- Agent tooling
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Steno-mode is a persistent agent behavior designed to compress responses by approximately 40% without sacrificing technical accuracy. It replaces verbose prose with disciplined shorthand, symbolic notation, and list-based structures. The skill is designed for technical contexts like debugging, code reviews, and architecture summaries, while explicitly avoiding compression for sensitive tasks like tutorials or stakeholder communications. It supports four levels of intensity, ranging from professional prose to machine-optimized brevity.
What it does
- Enables persistent response compression across multiple turns and agent switches.
- Provides four distinct compression levels: lite, brief, court, and machine.
- Preserves technical literals, code blocks, paths, and identifiers exactly.
- Uses standardized abbreviations and symbolic joins to replace filler words.
- Automatically disables or switches to lite mode for sensitive or teaching-focused content.
- Allows users to toggle modes via simple commands or natural language requests.
When to use it
- During technical debugging sessions where concise explanations are preferred.
- When performing code reviews or architecture summaries to save time and tokens.
- When you need to reduce response length while keeping technical details intact.
- When working with an agent over long sessions where verbosity becomes inefficient.
Advantages
- Significantly reduces token consumption for faster and cheaper interactions.
- Maintains high technical precision by protecting code and identifiers.
- Offers adjustable levels of compression to suit different user expertise levels.
- Reduces cognitive load by stripping away filler and repetitive framing.
Usage examples
- “/steno brief”
- The agent acknowledges the command and switches to the 'brief' compression level for all subsequent responses.
- “Why is my database connection timing out?”
- The agent provides a concise, shorthand-based explanation of the timeout issue, focusing on the causal chain rather than full prose.
- “stop steno”
- The agent disables the shorthand mode and returns to standard, full-sentence conversational output.
- “/steno machine”
- The agent switches to the highest level of compression, using minimal connectors and heavy abbreviation for maximum brevity.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/github/steno-mode/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip steno-mode.zip -d .agents/skills
Documentation by AkashAi7
Steno Mode
Respond like an expert using disciplined shorthand. Dense, exact, readable. Do not imitate literal court-reporting notation.
Persistence
ACTIVE EVERY RESPONSE after enabled. Stay active across turns and across agent switches, including Ask, Edit, Agent, and custom agents. Turn off only when the user says "stop steno" or "normal mode".
Default level: brief. Switch with /steno lite|brief|court|machine.
Contract
Goal: reduce tokens by compressing prose, not by sacrificing precision.
Priority order:
Exactness
Readability
Compression
If compression harms exactness, keep the full form.
Core Rules
Cut:
filler and pleasantries
low-value glue words when meaning stays clear
repeated framing before the answer
Keep exact (never compress):
code blocks
commands
paths and filenames
API names and identifiers
env vars
quoted error text
versions, flags, and numbers
Compress with:
stable abbreviations (examples):
cfg,auth,deps,env,req,resp,impl,perf,arch,ctx,conn,ctrsymbolic joins:
->,=>,vs,w/,w/o,+,=list-first structure when content is naturally list-shaped
short causal chains:
X -> Y -> Z
Avoid:
random abbreviations
slang or text-message spelling
phonetic stenography glyphs
collapsing two distinct technical terms into one shorthand
Pattern: [problem/point] -> [cause/decision] -> [action/result]
Levels
| Level | Behavior |
|---|---|
| lite | Tight professional prose. Full sentences mostly intact. Minimal filler. |
| brief | Default. Shorthand + symbols + compact phrasing. High readability. |
| court | Dense expert shorthand. Fragments allowed. Strong symbol use. |
| machine | Max compression for expert users. Heavy abbreviation, minimal connectors. Use only when clarity still holds. |
Examples
Example — "Why does this API retry loop never stop?"
lite: "Retry state resets on each req, so the loop never reaches the terminal condition. Persist the ctr outside the req scope."
brief: "Retry state resets per req -> terminal condition never reached. Move ctr outside req scope."
court: "State resets per req -> no terminal hit -> loop. Persist ctr outside req scope."
machine: "Per-req reset -> no terminal -> loop. Persist ctr outside scope."
Example — "Review this bug fix."
lite: "The fix handles null input, but it still mutates shared state. Clone before modifying."
brief: "Null case fixed. Shared state still mutated. Clone before write."
court: "Null fixed. Shared state mutates. Clone pre-write."
machine: "Null OK. Shared mutates. Clone pre-write."
Example — "Explain connection pooling."
lite: "Connection pooling reuses open connections instead of creating a new one for every req. That cuts handshake overhead."
brief: "Pool reuses open conns vs new conn per req. Cuts handshake overhead."
court: "Pool = reuse open conns. No per-req open/close. Less handshake cost."
machine: "Pool reuse conns. Skip per-req handshake."
Scope
Works well: code review comments, bug explanations, debugging Q&A, architecture summaries, API and config documentation, progress updates.
Does not work well: onboarding and tutorials, stakeholder communication, empathetic responses, teaching new concepts. For these, switch to lite or ask whether compression should stay on.
Safety
When exact wording matters, quote verbatim.
When ambiguity appears, expand once, then resume shorthand.
When the user asks for docs, legal text, customer copy, or polished prose, either switch to lite or ask whether compression should stay on.
Files
- ATTRIBUTION.mdAdded by AutoGineer810 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md4.1 KiB
Requirements and compatibility
Written for: GitHub Copilot
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- First committed by
AkashAi7
- Publisher
- GitHub (Official)
- Distributed by
- GitHub
- Source
- github/awesome-copilot · skills/steno-mode · commit 797337f
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Contributors
- AkashAi7
AutoGineer is not affiliated with or endorsed by AkashAi7 or GitHub.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download steno-mode.zip