Guidelines
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
Implement code against an existing Quint specification. An agent skill from quint-co/quint-llm-kit.
$ npx skills add quint-co/quint-llm-kit --skill quint-execute-spec -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install quint-co/quint-llm-kit quint-execute-spec --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/quint-co/quint-llm-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/quint-llm-kit-plugin/skills/quint-execute-spec .claude/skills/quint-execute-spec && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "quint-execute-spec" agent skill from https://github.com/quint-co/quint-llm-kit/tree/main/quint-llm-kit-plugin/skills/quint-execute-spec into .claude/skills/quint-execute-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quint-execute-spec", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/quint-co/quint-llm-kit/tree/main/quint-llm-kit-plugin/skills/quint-execute-specType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add quint-co/quint-llm-kit --skill quint-execute-spec -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install quint-co/quint-llm-kit quint-execute-spec --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/quint-co/quint-llm-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/quint-llm-kit-plugin/skills/quint-execute-spec .agents/skills/quint-execute-spec && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "quint-execute-spec" agent skill from https://github.com/quint-co/quint-llm-kit/tree/main/quint-llm-kit-plugin/skills/quint-execute-spec into .agents/skills/quint-execute-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quint-execute-spec", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add quint-co/quint-llm-kit --skill quint-execute-spec -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install quint-co/quint-llm-kit quint-execute-spec --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/quint-co/quint-llm-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/quint-llm-kit-plugin/skills/quint-execute-spec .cursor/skills/quint-execute-spec && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "quint-execute-spec" agent skill from https://github.com/quint-co/quint-llm-kit/tree/main/quint-llm-kit-plugin/skills/quint-execute-spec into .cursor/skills/quint-execute-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quint-execute-spec", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/quint-co/quint-llm-kit.git --path quint-llm-kit-plugin/skills/quint-execute-spec--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add quint-co/quint-llm-kit --skill quint-execute-spec -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install quint-co/quint-llm-kit quint-execute-spec --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/quint-co/quint-llm-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/quint-llm-kit-plugin/skills/quint-execute-spec .gemini/skills/quint-execute-spec && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "quint-execute-spec" agent skill from https://github.com/quint-co/quint-llm-kit/tree/main/quint-llm-kit-plugin/skills/quint-execute-spec into .gemini/skills/quint-execute-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quint-execute-spec", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install quint-co/quint-llm-kit quint-execute-specInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add quint-co/quint-llm-kit --skill quint-execute-spec -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/quint-co/quint-llm-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/quint-llm-kit-plugin/skills/quint-execute-spec .github/skills/quint-execute-spec && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "quint-execute-spec" agent skill from https://github.com/quint-co/quint-llm-kit/tree/main/quint-llm-kit-plugin/skills/quint-execute-spec into .github/skills/quint-execute-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quint-execute-spec", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add quint-co/quint-llm-kit --skill quint-execute-spec -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install quint-co/quint-llm-kit quint-execute-spec --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/quint-co/quint-llm-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/quint-llm-kit-plugin/skills/quint-execute-spec .opencode/skills/quint-execute-spec && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "quint-execute-spec" agent skill from https://github.com/quint-co/quint-llm-kit/tree/main/quint-llm-kit-plugin/skills/quint-execute-spec into .opencode/skills/quint-execute-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quint-execute-spec", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
quint-execute-specImplement code against an existing Quint specification. An agent skill from quint-co/quint-llm-kit.
Quint Execute Spec is an agent skill from quint-co/quint-llm-kit. Implement code against an existing Quint specification. Uses Research → Plan → Implement workflow (ACE-FCA style) grounded by the spec as the source of truth. Use when the user wants to refactor code, add a new feature, or close a gap between implementation and spec — with the Quint spec as the formal constraint that all changes must satisfy.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Refactoring. The repository describes itself as: Agents and tools for using Quint with LLMs. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cc75369. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Quint Execute Spec loads about 2.6k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 1,119 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from quint-co/quint-llm-kit at commit cc75369, republished under its Apache-2.0 licence (© quint-co). 1,119 words, ~2,630 tokens.
.claude/skills/quint-execute-spec/SKILL.md (or your agent's skills folder).When you have a Quint spec and want to make a change to the codebase, this skill grounds the work in the spec. The spec is not advisory — it is the formal statement of what the system must do. All changes must satisfy it. The spec is reviewed, then the code follows.
If no spec exists yet, use quint-modeling first to create the grounding artifact.
This skill is the post-spec half of the loop: Research and Plan are anchored by the
existing .qnt file and compact gap analysis—not by prose plans alone. Implement proceeds only
with the verification gates in Phases 3–4 (Quint tool runs after substantive edits). Natural-language
plans are not proof; tool results are.
Never modify the spec to make a failing verification pass. If the spec must change (behavior is intentionally changing), stop and present the proposed spec change to the user before touching any code. The spec change is the highest-leverage review point.
Context utilization target: 40–60% during research and planning. Catalog the codebase compactly rather than reading everything into the main context.
[Quint spec] + [Desired change description]
↓
┌────────────────────────────────────────────────────────────┐
│ Phase 0: Orient │
│ → Read the spec: what does it guarantee? │
│ → Clarify the change: what new behavior is needed? │
│ → Decide: is this a spec change or a code change? │
└────────────────────────────────────────────────────────────┘
↓
┌────────────────────────────────────────────────────────────┐
│ Phase 1: Research (compact) │
│ → Map the gap between spec and code │
│ → Output: compact gap analysis (target: under 300 lines) │
└────────────────────────────────────────────────────────────┘
↓
┌────────────────────────────────────────────────────────────┐
│ Phase 2: Plan │
│ → Precise steps: files to change, expected state delta │
│ → For each step: how to verify it satisfies the spec │
│ → Identify which Quint properties to run at each gate │
│ → Present plan to user before implementing │
└────────────────────────────────────────────────────────────┘
↓
┌────────────────────────────────────────────────────────────┐
│ Phase 3: Implement │
│ → Follow plan phase by phase │
│ → After each phase: run Quint tools, verify properties │
│ → Compact status back into the plan after each phase │
└────────────────────────────────────────────────────────────┘
↓
┌────────────────────────────────────────────────────────────┐
│ Phase 4: Verify │
│ → Run all witnesses (expect VIOLATED) │
│ → Run all invariants (expect no violation) │
│ → If any invariant fails: return to Phase 2, fix plan │
└────────────────────────────────────────────────────────────┘Read the spec and understand the desired change.
Lightweight path (skip research for simple changes): If the change is small (single function, one module, no new state), skip Phase 1 and go straight to Phase 2.
For non-trivial changes, produce a compact gap analysis between spec and code. Keep this focused — the goal is a compact, accurate summary, not a full codebase read. Answer these questions:
Given the Quint spec at
[spec path]and the source files[file list from handoff]:
- For each state variable in the spec, find where it is managed in source code
- For each action in the spec, find the corresponding function(s) in source code
- Identify any spec behaviors that have no corresponding source code (gaps)
- Identify any source code behaviors not captured in the spec (out-of-scope)
- For the change
[change description]: which source files are affected?Output a compact summary. Do not read files that are not relevant. Target: under 300 lines.
If the analysis missed something critical, do a targeted follow-up read before proceeding.
Create a precise implementation plan. Each plan step must:
## Change: [one-sentence description]
### Spec impact
- Properties that must continue to hold: [list]
- Properties that will change (if any): [list] — REQUIRES USER APPROVAL BEFORE IMPLEMENTATION
### Implementation steps
#### Step 1: [file] — [what changes]
- Expected behavior change: [description]
- Quint verification gate: `quint run` / `quint verify` — invariant `[name]`
#### Step 2: [file] — [what changes]
...
### Rollback criteria
If invariant `[name]` fails after Step N, stop and return to planning. Do not proceed.Present the plan to the user before implementing. Human review of the plan has higher leverage than review of the code.
If the plan requires modifying the spec, present the spec change explicitly and get approval first.
Follow the plan. After each step:
quint typecheck and fix all reported errors.quint run / quint test / quint verify)After each step is verified, compact progress:
## Status (after Step N)
- Steps 1–N: DONE ✓
- Current: Step N+1
- Blocking issues: [none / description]
- Next verification gate: [invariant name]Write this to the plan file. In complex implementations, start a new context window with the updated plan rather than continuing in an overloaded context.
| Need | Tool |
|---|---|
| Type-check spec after any edit | Run quint typecheck; fix all reported errors before continuing |
| Verify witnesses are reachable | quint run with witness as invariant |
| Verify safety invariants hold | quint run with --max-samples 5000 or quint verify |
| Interactive exploration | quint REPL session + quint REPL eval (only when CLI is insufficient) |
Run the full property suite.
All witnesses must be violated (meaning the expected state is reachable):
quint run with witness name in witnesses (or mapped invariant selector).Counterexample found in raw CLI wording).All invariants must not be violated:
quint run (or quint verify when stronger coverage needed).The implementation has over-constrained behavior — a path that should be reachable is blocked. Return to Phase 2 and identify which step introduced the constraint.
If the desired change requires updating the spec (new state variables, changed invariants):
This preserves the spec as the source of truth even when it evolves.
| Anti-pattern | Why it breaks the workflow |
|---|---|
| Modify spec to pass a failing invariant | Destroys the spec as ground truth |
| Skip verification gates between steps | Breaks incremental verification; bugs compound |
| Read the whole codebase into main context | Floods context; catalog compactly in Phase 1 instead |
| Plan in prose, implement "roughly" | Plan must be precise enough to verify step-by-step |
| Treat spec as advisory documentation | Spec is a formal constraint — machine-checkable |
| Fix invariant failure by weakening the invariant | Invariants must be fixed in code, not loosened |
For small, well-understood changes (single function, no new state):
quint run with those invariantsSkip Phase 0–1. Use Phases 2–4 only for non-trivial changes.
© quint-co, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in quint-llm-kit-plugin/skills/quint-execute-spec of quint-co/quint-llm-kit.
Open the folder on GitHubat commit cc75369
Quint Execute Spec next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Quint Execute Spec this skillquint-co/quint-llm-kit | 104 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Guidelinesakash-network/node | 1.1k | 20 repos | ~577 | Automated safety check: Pass | MIT | |
| Component Refactoringlangflow-ai/langflow | 155k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Migrate Core Code to Submodulestinyhumansai/openhuman | 42k | — | ~2.6k | Automated safety check: Pass | GPL-3.0 | |
| ast-grep Structural Searchcode-yeongyu/oh-my-openagent | 70k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Systematic Code Refactoringluongnv89/claude-howto | 42k | — | ~3k | Automated safety check: Pass | MIT |
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
langflow-ai/langflow
Refactor high-complexity React components in Langflow frontend.
tinyhumansai/openhuman
Plans and carries out moving non-host-specific code and its tests from the OpenHuman core into vendored tiny submodule libraries, then releases the submodule and re-pins the host.
code-yeongyu/oh-my-openagent
Searches and rewrites code by syntax-tree shape across 25 languages with ast-grep, for codemods, structural queries and YAML lint rules, using a Python wrapper script.
luongnv89/claude-howto
Guides refactoring in phases based on Martin Fowler's method: research, test coverage check, planning and small tested steps, with your approval at each phase.
skills-directory/skill-codex
A skill your agent uses when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
quint-co/quint-llm-kit
Quint language and CLI reference — the expert on Quint syntax, operators, types, basicSpells, the toolchain (typecheck/run/test/verify), and how to read simulation and counterexample output.
Categories
Implement code against an existing Quint specification. An agent skill from quint-co/quint-llm-kit. Quint Execute Spec is an agent skill from quint-co/quint-llm-kit. Implement code against an existing Quint specification.
Quint Execute Spec fits situations like: the user wants to refactor code; add a new feature; close a gap between implementation and spec — with the Quint spec as the formal constraint that all changes must satisfy.
Run `npx skills add quint-co/quint-llm-kit --skill quint-execute-spec -a claude-code`. Or copy the skill folder (quint-llm-kit-plugin/skills/quint-execute-spec in quint-co/quint-llm-kit) into .claude/skills/quint-execute-spec in your project. Claude Code loads it when a task matches its description.
Run `npx skills add quint-co/quint-llm-kit --skill quint-execute-spec -a codex`. Or copy the skill folder (quint-llm-kit-plugin/skills/quint-execute-spec in quint-co/quint-llm-kit) into .agents/skills/quint-execute-spec in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add quint-co/quint-llm-kit --skill quint-execute-spec -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/quint-execute-spec, .gemini/skills/quint-execute-spec, .github/skills/quint-execute-spec and .opencode/skills/quint-execute-spec in your project.
SKILL.md names no scripts, command-line tools or credentials: Quint Execute Spec is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Quint Execute Spec is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Quint Execute Spec: Guidelines (akash-network/node, 1.1k stars), Component Refactoring (langflow-ai/langflow, 155k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars) and ast-grep Structural Search (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
quint-co (a GitHub organization) maintains it in quint-co/quint-llm-kit, which has 104 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on July 1, 2026.
Source: quint-co/quint-llm-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.