Fast, AI-powered file editing using the Morph Apply API. Edit files without reading them first. Processes at 10,500 tokens/sec with 98% accuracy.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmorph-applyExecute the skills CLI command in your project's root directory to begin installation:
Fetches morph-apply from parcadei/continuous-claude-v3 and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate morph-apply. Access via /morph-apply in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Fast, AI-powered file editing using the Morph Apply API. Edit files without reading them first. Processes at 10,500 tokens/sec with 98% accuracy.
Use // ... existing code ... (or language-appropriate comments) to mark where edits go:
# ... existing code ...
try:
result = process()
except Exception as e:
log.error(e)
# ... existing code ...
The API intelligently places your edit in the right location.
uv run python -m runtime.harness scripts/mcp/morph_apply.py \
--file "src/auth.py" \
--instruction "Add error handling to login function" \
--code_edit "# ... existing code ...
try:
user = authenticate(credentials)
except AuthError as e:
log.error(f'Auth failed: {e}')
raise
# ... existing code ..."
uv run python -m runtime.harness scripts/mcp/morph_apply.py \
--file "src/api.py" \
--instruction "Add debug logging" \
--code_edit "# ... existing code ...
logger.debug(f'Processing request: {request.id}')
# ... existing code ..."
uv run python -m runtime.harness scripts/mcp/morph_apply.py \
--file "src/types.ts" \
--instruction "Add user validation" \
--code_edit "// ... existing code ...
if (!user) throw new Error('User not found');
if (!user.isActive) throw new Error('User inactive');
// ... existing code ..."
| Parameter | Description |
|---|---|
--file |
File path to edit (required) |
--instruction |
Human description of the change (required) |
--code_edit |
Code snippet with markers showing where to place edit (required) |
| Tool | Best For |
|---|---|
| morph-apply | Fast edits, don't need to read file first, large files, batch edits |
| Claude Edit | Small precise edits when file is already in context |
Use morph-apply when:
Use Claude Edit when:
Requires morph server in mcp_config.json with MORPH_API_KEY.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
parcadei/continuous-claude-v3
mattpocock/skills
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
Solid pick for teams standardizing on skills: morph-apply is focused, and the summary matches what you get after install.
Keeps context tight: morph-apply is the kind of skill you can hand to a new teammate without a long onboarding doc.
morph-apply has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend morph-apply for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: morph-apply is focused, and the summary matches what you get after install.
I recommend morph-apply for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for morph-apply matched our evaluation — installs cleanly and behaves as described in the markdown.
We added morph-apply from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in morph-apply — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend morph-apply for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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