reverse-engineer▌
sickn33/antigravity-awesome-skills · updated May 16, 2026
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reverse-engineer
Common RE scripting environments
- IDAPython (IDA Pro scripting)
- Ghidra scripting (Java/Python via Jython)
- r2pipe (radare2 Python API)
- pwntools (CTF/exploitation toolkit)
- capstone (disassembly framework)
- keystone (assembly framework)
- unicorn (CPU emulator framework)
- angr (symbolic execution)
- Triton (dynamic binary analysis)
## Use this skill when
- Working on common re scripting environments tasks or workflows
- Needing guidance, best practices, or checklists for common re scripting environments
## Do not use this skill when
- The task is unrelated to common re scripting environments
- You need a different domain or tool outside this scope
## Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open `resources/implementation-playbook.md`.
## Analysis Methodology
### Phase 1: Reconnaissance
1. **File identification**: Determine file type, architecture, compiler
2. **Metadata extraction**: Strings, imports, exports, resources
3. **Packer detection**: Identify packers, protectors, obfuscators
4. **Initial triage**: Assess complexity, identify interesting regions
### Phase 2: Static Analysis
1. **Load into disassembler**: Configure analysis options appropriately
2. **Identify entry points**: Main function, exported functions, callbacks
3. **Map program structure**: Functions, basic blocks, control flow
4. **Annotate code**: Rename functions, define structures, add comments
5. **Cross-reference analysis**: Track data and code references
### Phase 3: Dynamic Analysis
1. **Environment setup**: Isolated VM, network monitoring, API hooks
2. **Breakpoint strategy**: Entry points, API calls, interesting addresses
3. **Trace execution**: Record program behavior, API calls, memory access
4. **Input manipulation**: Test different inputs, observe behavior changes
### Phase 4: Documentation
1. **Function documentation**: Purpose, parameters, return values
2. **Data structure documentation**: Layouts, field meanings
3. **Algorithm documentation**: Pseudocode, flowcharts
4. **Findings summary**: Key discoveries, vulnerabilities, behaviors
## Response Approach
When assisting with reverse engineering tasks:
1. **Clarify scope**: Ensure the analysis is for authorized purposes
2. **Understand objectives**: What specific information is needed?
3. **Recommend tools**: Suggest appropriate tools for the task
4. **Provide methodology**: Step-by-step analysis approach
5. **Explain findings**: Clear explanations with supporting evidence
6. **Document patterns**: Note interesting code patterns, techniques
## Code Pattern Recognition
### Common Patterns
```c
// String obfuscation (XOR)
for (int i = 0; i < len; i++)
str[i] ^= key;
// Anti-debugging (IsDebuggerPresent)
if (IsDebuggerPresent())
exit(1);
// API hashing (common in malware)
hash = 0;
while (*name)
hash = ror(hash, 13) + *name++;
// Stack string construction
char s[8];
*(DWORD*)s = 0x6C6C6548; // "Hell"
*(DWORD*)(s+4) = 0x6F; // "o\0"
Calling Conventions
- x86 cdecl: Args on stack, caller cleans
- x86 stdcall: Args on stack, callee cleans
- x64 Windows: RCX, RDX, R8, R9, then stack
- x64 System V: RDI, RSI, RDX, RCX, R8, R9, then stack
- ARM: R0-R3, then stack
Security & Ethics
Authorized Use Only
- Security research with proper authorization
- CTF competitions and educational challenges
- Malware analysis for defensive purposes
- Vulnerability disclosure through responsible channels
- Understanding software for interoperability
Never Assist With
- Unauthorized access to systems
- Creating malware for malicious purposes
- Bypassing software licensing illegitimately
- Intellectual property theft
- Any illegal activities
Example Interactions
CTF Binary Challenge
User: "I have a CTF binary that asks for a password. How do I approach this?"
Response: Let me guide you through the analysis:
1. First, identify the binary type:
$ file challenge
$ checksec --file=challenge
2. Load in Ghidra/IDA and find main()
3. Look for:
- String comparisons (strcmp, memcmp)
- Crypto functions (xor loops, constants like 0x5A827999)
- Input validation logic
4. Set breakpoints on comparison functions in GDB:
$ gdb ./challenge
(gdb) break strcmp
(gdb) run
5. Examine memory at comparison point to see expected value
Library Analysis
User: "I need to understand how this closed-source DLL handles authentication"
Response: For authorized analysis of the DLL:
1. Static analysis:
- List exports: dumpbin /exports library.dll
- Find auth-related functions by name patterns
- Load in IDA/Ghidra, analyze exported functions
2. Dynamic analysis:
- Hook API calls with Frida
- Monitor network traffic
- Trace function parameters
3. Documentation:
- Document function signatures
- Map data structures
- Note any security considerations
How to use reverse-engineer on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add reverse-engineer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches reverse-engineer from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate reverse-engineer. Access the skill through slash commands (e.g., /reverse-engineer) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★62 reviews- ★★★★★Advait Anderson· Dec 16, 2024
reverse-engineer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kiara Rao· Dec 12, 2024
reverse-engineer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Neel Dixit· Dec 8, 2024
Registry listing for reverse-engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Yusuf Srinivasan· Dec 8, 2024
Useful defaults in reverse-engineer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kiara Patel· Dec 4, 2024
We added reverse-engineer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Xiao Bansal· Nov 27, 2024
reverse-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Layla Haddad· Nov 27, 2024
reverse-engineer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Rahul Santra· Nov 23, 2024
Keeps context tight: reverse-engineer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Li Sanchez· Nov 11, 2024
Keeps context tight: reverse-engineer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Arya Iyer· Nov 3, 2024
I recommend reverse-engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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