How do I install llvm?

Run `npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does llvm support?

llvm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. llvm is free to install and use. It is available from the open explainx.ai skill registry published by mohitmishra786.

Where can I read ratings and reviews for llvm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install llvm?

Run `npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does llvm support?

llvm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. llvm is free to install and use. It is available from the open explainx.ai skill registry published by mohitmishra786.

Where can I read ratings and reviews for llvm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install llvm?

Run `npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does llvm support?

llvm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. llvm is free to install and use. It is available from the open explainx.ai skill registry published by mohitmishra786.

Where can I read ratings and reviews for llvm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install llvm?

Run `npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does llvm support?

llvm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. llvm is free to install and use. It is available from the open explainx.ai skill registry published by mohitmishra786.

Where can I read ratings and reviews for llvm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install llvm?

Run `npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does llvm support?

llvm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. llvm is free to install and use. It is available from the open explainx.ai skill registry published by mohitmishra786.

Where can I read ratings and reviews for llvm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install llvm?

Run `npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does llvm support?

llvm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. llvm is free to install and use. It is available from the open explainx.ai skill registry published by mohitmishra786.

Where can I read ratings and reviews for llvm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install llvm?

Run `npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does llvm support?

llvm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. llvm is free to install and use. It is available from the open explainx.ai skill registry published by mohitmishra786.

Where can I read ratings and reviews for llvm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install llvm?

Run `npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does llvm support?

llvm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. llvm is free to install and use. It is available from the open explainx.ai skill registry published by mohitmishra786.

Where can I read ratings and reviews for llvm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install llvm?

Run `npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does llvm support?

llvm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. llvm is free to install and use. It is available from the open explainx.ai skill registry published by mohitmishra786.

Where can I read ratings and reviews for llvm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install llvm?

Run `npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does llvm support?

llvm works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. llvm is free to install and use. It is available from the open explainx.ai skill registry published by mohitmishra786.

Where can I read ratings and reviews for llvm?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install llvm?

Run `npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm` in your terminal. You need to have run `npx skills init` once in your project first.

Productivity

llvm▌

mohitmishra786/low-level-dev-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm

0 commentsdiscussion

summary

Guide agents through the LLVM IR pipeline: generating IR, running optimisation passes with opt, lowering to assembly with llc, and inspecting IR for debugging or performance work.

skill.md

LLVM IR and Tooling

Purpose

Guide agents through the LLVM IR pipeline: generating IR, running optimisation passes with opt, lowering to assembly with llc, and inspecting IR for debugging or performance work.

Triggers

"Show me the LLVM IR for this function"
"How do I run an LLVM optimisation pass?"
"What does this LLVM IR instruction mean?"
"How do I write a custom LLVM pass?"
"Why isn't auto-vectorisation happening in LLVM?"

Workflow

1. Generate LLVM IR

# Emit textual IR (.ll)
clang -O0 -emit-llvm -S src.c -o src.ll

# Emit bitcode (.bc)
clang -O2 -emit-llvm -c src.c -o src.bc

# Disassemble bitcode to text
llvm-dis src.bc -o src.ll

2. Run optimisation passes with `opt`

# Apply a specific pass
opt -passes='mem2reg,instcombine,simplifycfg' src.ll -S -o out.ll

# Standard optimisation pipelines
opt -passes='default<O2>' src.ll -S -o out.ll
opt -passes='default<O3>' src.ll -S -o out.ll

# List available passes
opt --print-passes 2>&1 | less

# Print IR before and after a pass
opt -passes='instcombine' --print-before=instcombine --print-after=instcombine src.ll -S -o out.ll 2>&1 | less

3. Lower IR to assembly with `llc`

# Compile IR to object file
llc -filetype=obj src.ll -o src.o

# Compile to assembly
llc -filetype=asm -masm-syntax=intel src.ll -o src.s

# Target a specific CPU
llc -mcpu=skylake -mattr=+avx2 src.ll -o src.s

# Show available targets
llc --version

4. Inspect IR

Key IR constructs to understand:

Construct	Meaning
`alloca`	Stack allocation (pre-SSA; `mem2reg` promotes to registers)
`load`/`store`	Memory access
`getelementptr` (GEP)	Pointer arithmetic / field access
`phi`	SSA φ-node: merges values from predecessor blocks
`call`/`invoke`	Function call (`invoke` has exception edges)
`icmp`/`fcmp`	Integer/float comparison
`br`	Branch (conditional or unconditional)
`ret`	Return
`bitcast`	Reinterpret bits (no-op in codegen)
`ptrtoint`/`inttoptr`	Pointer↔integer (avoid where possible)

5. Key passes

Pass	Effect
`mem2reg`	Promote alloca to SSA registers
`instcombine`	Instruction combining / peephole
`simplifycfg`	CFG cleanup, dead block removal
`loop-vectorize`	Auto-vectorisation
`slp-vectorize`	Superword-level parallelism (straight-line vectorisation)
`inline`	Function inlining
`gvn`	Global value numbering (common subexpression elimination)
`licm`	Loop-invariant code motion
`loop-unroll`	Loop unrolling
`argpromotion`	Promote pointer args to values
`sroa`	Scalar Replacement of Aggregates

6. Debugging missed optimisations

# Why was a loop not vectorised?
clang -O2 -Rpass-missed=loop-vectorize -Rpass-analysis=loop-vectorize src.c

# Dump pass pipeline
clang -O2 -mllvm -debug-pass=Structure src.c -o /dev/null 2>&1 | less

# Print IR after each pass (very verbose)
opt -passes='default<O2>' -print-after-all src.ll -S 2>&1 | less

7. Useful llvm tools

Tool	Purpose
`llvm-dis`	Bitcode → textual IR
`llvm-as`	Textual IR → bitcode
`llvm-link`	Link multiple bitcode files
`llvm-lto`	Standalone LTO
`llvm-nm`	Symbols in bitcode/object
`llvm-objdump`	Disassemble objects
`llvm-profdata`	Merge/show PGO profiles
`llvm-cov`	Coverage reporting
`llvm-mca`	Machine code analyser (throughput/latency)

For binutils equivalents, see skills/binaries/binutils.

Related skills

Use skills/compilers/clang for source-level Clang flags
Use skills/binaries/linkers-lto for LTO at link time
Use skills/profilers/linux-perf combined with llvm-mca for micro-architectural analysis

how to use llvm

How to use llvm 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 llvm

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill llvm

The skills CLI fetches llvm from GitHub repository mohitmishra786/low-level-dev-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:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ── always included ────

│ • Amp

│ • Antigravity

│ • Cline

│ • Codex

│ ●Cursor(selected)

│ • Cursor

│ • Windsurf

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/llvm

Reload or restart Cursor to activate llvm. Access the skill through slash commands (e.g., /llvm) 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.

Additional Resources

›View source code on GitHub ›Skills CLI documentation ›Learn more about Cursor ›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

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.

general reviews

Ratings

4.7★★★★★68 reviews

★★★★★Yuki Jackson· Dec 24, 2024
Solid pick for teams standardizing on skills: llvm is focused, and the summary matches what you get after install.
★★★★★Emma Nasser· Dec 24, 2024
llvm fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Olivia Patel· Dec 24, 2024
We added llvm from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
★★★★★Michael Jackson· Dec 20, 2024
I recommend llvm for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
★★★★★Diego Malhotra· Dec 20, 2024
Solid pick for teams standardizing on skills: llvm is focused, and the summary matches what you get after install.
★★★★★Liam Agarwal· Nov 15, 2024
We added llvm from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
★★★★★Yusuf Garcia· Nov 15, 2024
llvm fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Rahul Santra· Nov 11, 2024
Solid pick for teams standardizing on skills: llvm is focused, and the summary matches what you get after install.
★★★★★Olivia Reddy· Nov 11, 2024
Useful defaults in llvm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
★★★★★Camila Bhatia· Nov 11, 2024
llvm is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

showing 1-10 of 68

1 / 7

llvm▌

LLVM IR and Tooling

Purpose

Triggers

Workflow

1. Generate LLVM IR

2. Run optimisation passes with opt

3. Lower IR to assembly with llc

4. Inspect IR

5. Key passes

6. Debugging missed optimisations

7. Useful llvm tools

Related skills

How to use llvm on Cursor

Prerequisites

Execute installation command

Select Cursor when prompted

Verify installation

Security & Verification Notice

Additional Resources

List & Monetize Your Skill

Use Cases▌

User Story & Requirements Generation

Competitive Analysis

Roadmap Prioritization

Stakeholder Communication

Implementation Guide▌

Prerequisites

Time Estimate

Installation Steps

Common Pitfalls

Best Practices▌

✓ Do

✗ Don't

💡 Pro Tips

When to Use This▌

✓ Use When

✗ Avoid When

Learning Path▌

Discussion

Ratings

2. Run optimisation passes with `opt`

3. Lower IR to assembly with `llc`