tla-model
Author the TLA+ abstract behavioural spec for an rd-flow workspace.
Skill by KKuze
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/kkuze-tla-model
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/tla-model
What's inside
- Skill name
tla-model- Description
- Author the TLA+ abstract behavioural spec for an rd-flow workspace. Use after requirements are stable and before TLA+ checking.
- License
- MIT
- Instructions
- 24 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# tla-model ## When to invoke - Current phase is `tla-model`. - `requirements.md` has no `(fill in)` placeholders. ## Steps 1. Read `.formal/settings/rules/tla-modeling.md`. 2. Run `rd-flow tla scaffold <name>` if the TLA+ files don't yet exist. 3. Edit `tla/model.tla`: - declare variables that are *necessary* to state the invariants, - define `Init`, `Next` (as named action disjuncts), `Spec`, - fill `Inv` so each requirement-level invariant is referenced. 4. Update `tla/properties.md` so every formula in the model has a one-line English gloss. 5. Configure `model.cfg` (constants, fairness) only as needed. ## Handoff Tell the user to invoke `tla-check`, or run `rd-flow tla check <name>`.
From KKuze/rd-flow, MIT.
More from KKuze/rd-flow
- 0.521score
implement
KKuze
Build the implementation plan and code mapping from a verified rd-flow spec.
SkillBFreshness: BClaude Code +9 - 0.518score
validate
KKuze
Close the loop on an rd-flow spec by confirming every requirement maps to verified specs and shipping code.
SkillBFreshness: BClaude Code +9 - 0.474score
discovery
KKuze
Route a new or returning request into the refinement-driven workflow.
SkillCFreshness: CClaude Code +9 - 0.471score
dafny-build
KKuze
Compile a verified Dafny spec to a target language (cs, java, go, js, py, cpp, rs) and capture the emitted artefacts.
SkillCFreshness: CClaude Code +9 - 0.469score
dafny-prove
KKuze
Run Dafny verification on an rd-flow spec and iterate until proofs discharge.
SkillCFreshness: CClaude Code +9 - 0.469score
tla-check
KKuze
Run TLC against an rd-flow TLA+ model and triage the result.
SkillCFreshness: CClaude Code +9 - 0.469score
dafny-refine
KKuze
Refine an rd-flow TLA+ spec into a Dafny module with concrete types and contracts.
SkillCFreshness: CClaude Code +9 - 0.447score
requirements
KKuze
Drive the requirements phase of an rd-flow spec.
SkillCFreshness: CClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- May 11, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/KKuze/rd-flow
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from KKuze
- 0.521score
implement
KKuze
Build the implementation plan and code mapping from a verified rd-flow spec.
SkillBFreshness: BClaude Code +9 - 0.518score
validate
KKuze
Close the loop on an rd-flow spec by confirming every requirement maps to verified specs and shipping code.
SkillBFreshness: BClaude Code +9 - 0.474score
discovery
KKuze
Route a new or returning request into the refinement-driven workflow.
SkillCFreshness: CClaude Code +9 - 0.471score
dafny-build
KKuze
Compile a verified Dafny spec to a target language (cs, java, go, js, py, cpp, rs) and capture the emitted artefacts.
SkillCFreshness: CClaude Code +9 - 0.469score
dafny-prove
KKuze
Run Dafny verification on an rd-flow spec and iterate until proofs discharge.
SkillCFreshness: CClaude Code +9 - 0.469score
tla-check
KKuze
Run TLC against an rd-flow TLA+ model and triage the result.
SkillCFreshness: CClaude Code +9
Cite this page
tla-model skill. Agent Mart. https://agentmart.dev/skills/kkuze-tla-model (last updated 2026-10-24)