acceptance-criteria-define
Use when an agent is asked to define, review, or write acceptance criteria for a request or plan.
Skill by giladresisi
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/giladresisi-acceptance-criteria-define
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
Use cases: writing, agent-building
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/acceptance-criteria-define
What's inside
- Skill name
acceptance-criteria-define- Description
- Use when an agent is asked to define, review, or write acceptance criteria for a request or plan. Derives acceptance criteria from the current request context, confirms them with the user, and writes them into the plan file or a standalone acceptance_criteria.md file.
- License
- MIT
- Instructions
- 229 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Acceptance Criteria: Define ## Step 0: Check for Context If no request or task description was provided as context (the skill was invoked with no arguments and nothing in the conversation describes a feature, task, or plan to evaluate): - Output: "This skill needs a request or task description as context. Please describe the feature or task you want acceptance criteria for, or point me to a plan file." - **STOP — do not continue.** --- ## Step 1: Identify the Plan File (if any) Check whether the context references an implementation plan file: - Look for a file path ending in `.md` mentioned in the request or conversation (e.g., `.agents/plans/feature-name.md`) - Look for any `.agents/plans/*.md` file that matches the feature being discussed **If a plan file is identified:** - Read the entire plan file now - Scan for an existing `## ACCEPTANCE CRITERIA` or `## Acceptance Criteria` section - If found, extract and note the existing criteria — these are your starting point - Also scan the `## TESTING STRATEGY`, `## VALIDATION COMMANDS`, and `## Feature Description` sections to understand the full scope **If no plan file:** - Proceed with the request description from conversation context only --- ## Step 2: Derive Acceptance Criteria Based on the context (plan file, feature description, or request in conversation), derive the acceptance criteria. **Think through each of these dimensions and produce criteria for whichever apply:** ### Functional Correctness - What must the feature actually do? (the happy paths) - What inputs/outputs define success? - What specific behaviors are required vs. optional? ### Error Handling & Edge Cases - What happens on bad input, missing data, or failures? - What state should the system be in after an error? ### Integration & End-to-End Flow - What connected systems must work together for the feature to be considered complete? - What does "it works" look like from the user's perspective end-to-end? ### Validation & Test Coverage - Which test levels are required: unit, integration, E2E? - What automated validation commands should pass before accepting the work? - Are there manual steps required for final verification? ### Non-Functional Requirements - Performance: any latency, throughput, or load requirements? - Security: any auth, data handling, or secret management requirements? - Observability: logging, error reporting, tracing requirements? ### Not In Scope - Explicitly list what is NOT expected — this prevents scope creep during review **Format each criterion as a concrete, testable statement, not a vague goal.** Good: "The `/mcp/mcp` endpoint returns HTTP 200 with a valid MCP tools list when the server is running" Bad: "The server should work correctly" --- ## Step 3: Present Criteria to User Output your derived criteria in a clear, readable list. Use this format: ``` ## Proposed Acceptance Criteria ### Functional - [ ] <criterion> - [ ] <criterion> ### Error Handling - [ ] <criterion> ### Integration / E2E - [ ] <criterion> ### Validation - [ ] <criterion> — verified by: `<command or test>` ### Out of Scope - <item> — not required for this task ``` ### Auto-approval gate (non-interactive / indirect invocation) Before asking the user anything, decide whether a user is actually present to confirm. The AskUserQuestion below only makes sense when this skill was invoked **directly by the user**. When it was invoked **indirectly** — by another skill, agent, or orchestrator running an automated flow (e.g. `plan-feature` inside an automated planning/experiment harness, or a planning subagent) — there is no one waiting to answer, and a blocking question would stall the whole flow. Treat the invocation as **non-interactive** if ANY of these hold: - the caller passed an auto-approve signal in context — e.g. `auto_approve: true`, `[non-interactive]`, or "auto-approve acceptance criteria"; or - the context states this skill (or the skill that invoked it) was invoked indirectly / by another skill or agent rather than directly by the user. **If non-interactive:** skip the AskUserQuestion below entirely and proceed with the **proposed criteria as-is** (identical to option 1). Output one line noting it — "Acceptance criteria auto-approved (non-interactive invocation)." — then continue to Step 4. **If interactive (a user invoked this directly):** use **AskUserQuestion** to ask the user: Question: "Do these acceptance criteria look right, or would you like to define them yourself?" Options: 1. "Looks good — use these" — proceed with the proposed criteria as-is 2. "I want to add/change something" — user will provide modifications in free text 3. "Let me define them myself" — skip the proposed criteria entirely and wait for the user to write their own ---
From giladresisi/ai-dev-env, MIT.
More from giladresisi/ai-dev-env
- 0.507score
new-co-trader-worktree
giladresisi
Creates a new git worktree in the auto-co-trader project for any purpose — optimization, regression, backtesting, brainstorming, etc.
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
create-worktree
giladresisi
Use when creating a git worktree for feature isolation with automatic environment setup including .env files and dependency installation
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
plan-feature
giladresisi
Use when creating a comprehensive implementation plan for a new feature including codebase analysis, API research, and parallel execution strategy
SkillCFreshness: C★ 2Claude Code +9 - 0.498score
execute
giladresisi
Use when implementing a feature plan file, choosing between sequential and team-based parallel execution with mandatory validation gates
SkillCFreshness: C★ 2Claude Code +9 - 0.443score
acceptance-criteria-validate
giladresisi
Use when an agent executing an implementation plan claims to have finished, to validate that all acceptance criteria were actually met.
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
cleanup-progress
giladresisi
Use when a feature is complete and PROGRESS.md needs cleaning up by replacing verbose execution notes with a concise completion summary
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
code-review
giladresisi
Use when performing a technical pre-commit code review on recently changed files for bugs, security issues, and standards compliance
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
execution-report
giladresisi
Use when generating an implementation report after feature completion documenting what was done, divergences from plan, and test results
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
explore-api
giladresisi
Use when researching an unfamiliar external API before integration to verify feasibility, integration patterns, and limitations
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
prime
giladresisi
Use when loading project context and architecture overview before starting implementation work, with optional focus on a specific area
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
system-review
giladresisi
Use when performing a meta-level analysis of plan adherence after implementation to identify process improvements and suggest CLAUDE.md updates
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
validate
giladresisi
Use when running comprehensive project validation including tests, type checking, linting, API connectivity checks, and server startup verification
SkillDFreshness: D★ 2Claude Code +9
Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 11, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/giladresisi/ai-dev-env
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from giladresisi
- 0.507score
new-co-trader-worktree
giladresisi
Creates a new git worktree in the auto-co-trader project for any purpose — optimization, regression, backtesting, brainstorming, etc.
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
create-worktree
giladresisi
Use when creating a git worktree for feature isolation with automatic environment setup including .env files and dependency installation
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
plan-feature
giladresisi
Use when creating a comprehensive implementation plan for a new feature including codebase analysis, API research, and parallel execution strategy
SkillCFreshness: C★ 2Claude Code +9 - 0.498score
execute
giladresisi
Use when implementing a feature plan file, choosing between sequential and team-based parallel execution with mandatory validation gates
SkillCFreshness: C★ 2Claude Code +9 - 0.443score
code-review
giladresisi
Use when performing a technical pre-commit code review on recently changed files for bugs, security issues, and standards compliance
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
acceptance-criteria-validate
giladresisi
Use when an agent executing an implementation plan claims to have finished, to validate that all acceptance criteria were actually met.
SkillDFreshness: D★ 2Claude Code +9
Cite this page
acceptance-criteria-define skill. Agent Mart. https://agentmart.dev/skills/giladresisi-acceptance-criteria-define (last updated 2026-10-24)