Skill-Agents
AGENTS.md4 starsChanged 2 months agoMITView on GitHub
Project-wide rules for the Antigravity agent. Global Scope Note: These default mode settings apply strictly to complex projects. If the current workspace is a simple script or scratchpad, disregard the deep-planning requirement and default to fast execution. - New feature / multi-file change / architecture decision: Always use Planning Mode. Apply the deep-planning skill before writing any code. - Bug fix with unknown root cause: Planning Mode. Apply deep-planning. - Bug fix that is an obvious one-line typo or off-by-one:…
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,700 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository58 other files it gives its agents.
- skills/project-docs-prep/templates/AGENTS.mdAGENTS.md
- skills/project-docs-prep/templates/CLAUDE.mdCLAUDE.md
- deep-planningSkill
- deep-planningSkill
- deprecatedSkill
- architecture-reviewSkill
- code-reviewSkill
- diagnoseSkill
- tddSkill
- ui-design-engineeringSkill
- ux-ui-design-assessmentSkill
- in-progressSkill
- mcp-tool-managementSkill
- skill-managementSkill
- obsidian-canvasSkill
- obsidian-markdownSkill
- obsidian-notion-bridgeSkill
- obsidian-vault-workflowSkill
- boomz-preferencesSkill
- personal-agent-workflowSkill
- personalSkill
- automation-designSkill
- grill-with-docsSkill
- handoffSkill
- inbox-meeting-triageSkill
- markdown-reportSkill
- prompt-improvementSkill
- project-docs-prepSkill
- claim-citation-checkSkill
- daily-news-reportSkill
- github-skill-researchSkill
- project-discoverySkill
- repo-tourSkill
- research-methodologySkill
- seo-website-evaluatorSkill
- thaiSkill
- thai-addressSkill
- thai-customer-serviceSkill
- thai-date-formatSkill
- thai-festival-cardSkill
- thai-government-formSkill
- thai-id-validateSkill
- thai-invoiceSkill
- thai-pdpaSkill
- thai-resumeSkill
- thai-social-captionSkill
- thai-text-processingSkill
- thai-translateSkill
- backtest-expertSkill
- dividend-value-screenerSkill
- drawdown-circuit-breakerSkill
- exposure-coachSkill
- market-breadth-analyzerSkill
- portfolio-managerSkill
- position-sizerSkill
- tradingSkill
- trader-memory-coreSkill
- uptrend-analyzerSkill
The file
We split this AGENTS.md into the rules it gives an agent
8 rules. About 0 are common, 4 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
New feature / multi-file change / architecture decision: Always use Planning Mode. Apply the deep-planning skill before writing any code.
- Distinctive: line 17
When in doubt, default to Planning Mode.
- Distinctive: line 26
If an Implementation Plan artifact already exists for the current thread/feature,
- Distinctive: line 28
Update the existing artifact in place.
- Distinctive: line 29
When a plan changes materially, add a one-line "Revision note" at the top of the artifact explaining what changed and why, so the human can …
- Very specific: line 41
Never invents scope beyond what architect approved.
- Very specific: line 43
Default to architect first for anything matching the Planning Mode rules above.
- Very specific: line 44
Only hand off to implementer once a plan has been explicitly approved.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AGENTS.md
Project-wide rules for the Antigravity agent.
Global Scope Note: These default mode settings apply strictly to complex projects. If the current workspace is a simple script or scratchpad, disregard the deep-planning requirement and default to fast execution.
Default Mode Settings
- New feature / multi-file change / architecture decision: Always use Planning Mode.
Apply the
deep-planningskill before writing any code. - Bug fix with unknown root cause: Planning Mode. Apply
deep-planning. - Bug fix that is an obvious one-line typo or off-by-one: Fast Mode is fine.
- Refactor touching more than one file: Planning Mode.
- Refactor within a single file, no behavior change: Fast Mode is fine.
- Test generation / documentation / formatting: Fast Mode.
When in doubt, default to Planning Mode. A wasted plan review costs seconds; an unreviewed multi-file change that goes wrong costs much more.
Plan continuity (important)
This project has had recurring issues with the agent losing earlier plan context when the conversation gets long or the user changes direction mid-thread.
Rules:
- If an Implementation Plan artifact already exists for the current thread/feature, treat new chat instructions as edits to that plan, not as a new task. Update the existing artifact in place. Never silently discard prior plan content.
- When a plan changes materially, add a one-line "Revision note" at the top of the artifact explaining what changed and why, so the human can track drift over time.
- For any task expected to span multiple sessions, write the approved plan to
PLAN.mdat the project root as the source of truth, not just the in-conversation artifact. ReadPLAN.mdat the start of every session before proposing new work.
Model routing
This project uses two custom agents (see .agents/agents/):
architect— planning, spec-writing, and plan revisions. Runs on a stronger reasoning model. Never edits files directly.implementer— executes approved plans. Runs on a faster/cheaper model. Never invents scope beyond whatarchitectapproved.
Default to architect first for anything matching the Planning Mode rules above.
Only hand off to implementer once a plan has been explicitly approved.
Skills
- Apply
deep-planningautomatically whenever a task matches the Planning Mode criteria above, even if the user does not explicitly ask for a plan.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

