cleanup-progress
Use when a feature is complete and PROGRESS.md needs cleaning up by replacing verbose execution notes with a concise completion summary
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-cleanup-progress
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.
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About
Use cases: productivity
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/cleanup-progress
What's inside
- Skill name
cleanup-progress- Description
- Use when a feature is complete and PROGRESS.md needs cleaning up by replacing verbose execution notes with a concise completion summary
- License
- MIT
- Instructions
- 171 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Cleanup Feature Progress Clean up PROGRESS.md for a completed feature, leaving only essential completion information. ## Purpose After a feature is fully complete, validated, and reviewed, consolidate all the detailed progress notes into a concise completion summary. This keeps PROGRESS.md maintainable while preserving critical information for future reference. ## Step 1: Read PROGRESS.md **MANDATORY FIRST STEP:** 1. Read `PROGRESS.md` 2. Identify the feature section to clean up (usually the most recent one) 3. Extract key information: - What was the feature about - What tests passed - What manual tests weren't performed or didn't pass - How the core functionality was validated ## Step 2: Create Concise Completion Summary Replace the entire feature section with a clean, concise summary: ```markdown ## Feature: [Feature Name] **Status**: ✅ Complete **Completed**: [Date] **Plan**: .agents/plans/[feature-name].md ### Core Validation [1-2 sentence summary of how the core functionality was validated to be working correctly] ### Test Status - Automated Tests: ✅ All passing ([X] unit, [Y] integration, [Z] e2e) - Manual Tests: [Status] - ⚠️ Not performed: [list manual tests not done] - ❌ Failed: [list any failed manual tests] - ✅ Passed: [list passed manual tests if any were done] ### Notes [Any important notes, gotchas, or follow-up items - keep brief] --- ``` ## Step 3: Archive Detailed Information (Optional) **If the detailed progress notes contain valuable information:** 1. Create `.agents/progress-archive/[feature-name]-progress.md` 2. Move the full detailed section there 3. Add reference in PROGRESS.md summary: ```markdown **Detailed Progress**: See .agents/progress-archive/[feature-name]-progress.md ``` **Only do this if the detailed notes are worth preserving for future reference.** ## Step 4: Update PROGRESS.md Use Edit tool to replace the verbose feature section with the concise summary. **Result:** - PROGRESS.md is clean and scannable - Essential completion info is preserved - Future agents can quickly see what was done and what's left - Detailed notes archived if valuable ## Guidelines **Keep in summary:** - ✅ Feature name and completion status - ✅ Core validation approach (how it was verified to work) - ✅ Test status (what passed, what didn't, what wasn't done) - ✅ Critical notes or gotchas **Remove from summary:** - ❌ Detailed execution logs - ❌ Step-by-step task descriptions - ❌ Full execution reports - ❌ Full system reviews - ❌ Verbose divergence analysis **Archive if valuable:** - Detailed execution report with divergences - System review findings - Complex troubleshooting notes - Important architectural decisions ## Example Before/After ### Before (Verbose) ```markdown ## Feature: Add User Authentication ### Planning Phase **Status**: Complete **Started**: 2024-01-15 10:00 **Plan File**: .agents/plans/add-user-auth.md Planning in progress... ### Execution Phase **Status**: Complete **Started**: 2024-01-15 11:00 **Completed**: 2024-01-15 14:00 #### What Was Accomplished [50 lines of detailed task descriptions...] #### What's Left to Do [10 lines of future work...] #### Manual Tests Required [20 lines of test procedures...] #### Automated Tests Status
From giladresisi/ai-dev-env, MIT.
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Use when researching an unfamiliar external API before integration to verify feasibility, integration patterns, and limitations
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Use when an agent executing an implementation plan claims to have finished, to validate that all acceptance criteria were actually met.
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Use when performing a technical pre-commit code review on recently changed files for bugs, security issues, and standards compliance
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Use when generating an implementation report after feature completion documenting what was done, divergences from plan, and test results
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Use when loading project context and architecture overview before starting implementation work, with optional focus on a specific area
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system-review
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Use when performing a meta-level analysis of plan adherence after implementation to identify process improvements and suggest CLAUDE.md updates
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validate
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Use when running comprehensive project validation including tests, type checking, linting, API connectivity checks, and server startup verification
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 6, 2026 (7 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
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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 - 0.507score
acceptance-criteria-define
giladresisi
Use when an agent is asked to define, review, or write acceptance criteria for a request or plan.
SkillCFreshness: C★ 2Claude Code +9 - 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 - 0.498score
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
Cite this page
cleanup-progress skill. Agent Mart. https://agentmart.dev/skills/giladresisi-cleanup-progress (last updated 2026-10-24)