React Performance
affaan-m/ECC
React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills).
Performs abstract interpretation to produce summarized execution traces and high-level program behavior representations.
$ npx skills add ArabelaTso/Skills-4-SE --skill abstract-trace-summarizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ArabelaTso/Skills-4-SE abstract-trace-summarizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/abstract-trace-summarizer .claude/skills/abstract-trace-summarizer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "abstract-trace-summarizer" agent skill from https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/abstract-trace-summarizer into .claude/skills/abstract-trace-summarizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "abstract-trace-summarizer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/abstract-trace-summarizerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ArabelaTso/Skills-4-SE --skill abstract-trace-summarizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ArabelaTso/Skills-4-SE abstract-trace-summarizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/abstract-trace-summarizer .agents/skills/abstract-trace-summarizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "abstract-trace-summarizer" agent skill from https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/abstract-trace-summarizer into .agents/skills/abstract-trace-summarizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "abstract-trace-summarizer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ArabelaTso/Skills-4-SE --skill abstract-trace-summarizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ArabelaTso/Skills-4-SE abstract-trace-summarizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/abstract-trace-summarizer .cursor/skills/abstract-trace-summarizer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "abstract-trace-summarizer" agent skill from https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/abstract-trace-summarizer into .cursor/skills/abstract-trace-summarizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "abstract-trace-summarizer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ArabelaTso/Skills-4-SE.git --path skills/abstract-trace-summarizer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ArabelaTso/Skills-4-SE --skill abstract-trace-summarizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ArabelaTso/Skills-4-SE abstract-trace-summarizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/abstract-trace-summarizer .gemini/skills/abstract-trace-summarizer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "abstract-trace-summarizer" agent skill from https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/abstract-trace-summarizer into .gemini/skills/abstract-trace-summarizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "abstract-trace-summarizer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ArabelaTso/Skills-4-SE abstract-trace-summarizerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ArabelaTso/Skills-4-SE --skill abstract-trace-summarizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/abstract-trace-summarizer .github/skills/abstract-trace-summarizer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "abstract-trace-summarizer" agent skill from https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/abstract-trace-summarizer into .github/skills/abstract-trace-summarizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "abstract-trace-summarizer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ArabelaTso/Skills-4-SE --skill abstract-trace-summarizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ArabelaTso/Skills-4-SE abstract-trace-summarizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/abstract-trace-summarizer .opencode/skills/abstract-trace-summarizer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "abstract-trace-summarizer" agent skill from https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/abstract-trace-summarizer into .opencode/skills/abstract-trace-summarizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "abstract-trace-summarizer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
abstract-trace-summarizerPerforms abstract interpretation to produce summarized execution traces and high-level program behavior representations.
Abstract Trace Summarizer is an agent skill from ArabelaTso/Skills-4-SE. Performs abstract interpretation to produce summarized execution traces and high-level program behavior representations. Highlights key control flow paths, variable relationships, loop invariants, function summaries, and potential runtime states using abstract domains (intervals, signs, nullness, etc.). Use when analyzing program behavior, understanding execution paths, computing loop invariants, tracking variable ranges, detecting potential runtime errors, or generating program summaries without concrete…
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/abstract_interpretation.md` and `references/examples.md`).
The repository describes itself as: A curated list of 180+ useful Claude Skills for Software Engineering and resources for customizing AI for SE workflows. The licence is Apache-2.0.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4f38503. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python, markdown and java).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Abstract Trace Summarizer loads about 3.3k tokens when it runs, and up to ~9.4k if it reads all its reference files. Until then it costs about 137 tokens; SKILL.md has 818 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ArabelaTso/Skills-4-SE at commit 4f38503, republished under its Apache-2.0 licence (© ArabelaTso). 818 words, ~3,292 tokens.
.claude/skills/abstract-trace-summarizer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.This skill performs abstract interpretation to analyze program behavior and produce summarized execution traces. It computes over-approximations of possible runtime states, tracks control flow paths, infers variable relationships, and generates high-level behavioral summaries without requiring concrete program execution.
Initial Assessment:
Abstract Domain Selection:
Choose domains based on analysis needs:
Numerical domains:
[min, max]±x ±y ≤ cNon-numerical domains:
Relational vs non-relational:
Build Control Flow Graph (CFG):
Represent program structure:
Entry → Statement₁ → Statement₂ → ... → Exit
↓ (branch)
Statement₃ → ...Identify key structures:
Path analysis:
Transfer Functions:
Model how statements affect abstract states:
Assignment: x = expr
1. Evaluate expr in current abstract state
2. Update abstract state for variable x
3. Propagate to successor statesConditional: if (condition)
1. Evaluate condition in current abstract state
2. Refine state for true branch (assume condition holds)
3. Refine state for false branch (assume condition doesn't hold)
4. Analyze both branches separatelyLoop: while (condition)
1. Compute fixpoint at loop head using widening
2. Analyze loop body with refined state
3. Optionally apply narrowing for precision
4. Extract loop invariant from fixpointFunction call: y = f(x)
1. Look up or compute function summary
2. Apply preconditions to arguments
3. Update state with postconditions
4. Handle side effectsLattice Operations:
Join (∪): Merge states from different paths
Example: [1,5] ∪ [3,8] = [1,8]
Use: At control flow merge pointsMeet (∩): Refine state with constraints
Example: [1,10] ∩ [5,15] = [5,10]
Use: When adding constraints from conditionsWidening (∇): Accelerate convergence for loops
Example: [0,n] ∇ [0,n+1] = [0,+∞]
Use: At loop heads to ensure terminationNarrowing (△): Refine widened results
Example: [0,+∞] △ [0,100] = [0,100]
Use: After widening to improve precisionData Dependencies:
Track how variables affect each other:
Relational Constraints:
For relational domains, track constraints:
Intervals: x ∈ [0,10], y ∈ [5,15]
Octagons: x - y ≤ 5, x + y ≤ 20
Polyhedra: 2x + 3y ≤ 30, x - y ≥ 0Equality Tracking:
After x = y: track that x and y have equal values
After x = y + 1: track that x = y + 1Fixpoint Computation:
1. Initialize loop head state
2. Analyze loop body
3. Compute join of entry state and back-edge state
4. Apply widening if not converged
5. Repeat until fixpoint reached
6. Optionally apply narrowingLoop Invariant:
Properties that hold at loop head:
Example: for i in range(n):
Invariant: 0 ≤ i < nLoop Bounds:
Estimate iteration counts:
for i in range(10) → 10 iterationsfor i in range(n) → n iterationswhile condition → unknown iterationsLoop Effects:
Summarize loop behavior:
Compute Function Summaries:
Preconditions: Required input states
Example: def divide(a, b)
Precondition: b ≠ 0Postconditions: Guaranteed output states
Example: def abs(x)
Postcondition: result ≥ 0Side effects: Modifications to global state
Example: def append(list, item)
Side effect: list length increases by 1Frame conditions: What remains unchanged
Example: def get_first(list)
Frame: list is not modifiedModular Analysis:
Analyze functions separately:
Generate High-Level Summary:
Execution paths:
Path 1: Entry → L1 → L2 → L5 → Exit
Condition: x > 0
Result: returns positive value
Path 2: Entry → L1 → L3 → L4 → Exit
Condition: x ≤ 0
Result: returns zero or negative valueKey control flow:
- 3 conditional branches
- 2 loops (nested)
- 5 function calls
- 1 exception handlerVariable states:
Entry: x ∈ ℤ, y ∈ ℤ
Exit: result ∈ [0, +∞]
Invariant: x + y ≤ 100Potential runtime states:
Normal termination: 85% of paths
Exception thrown: 15% of paths
Infinite loop: Not possible (proven)Structure the abstract trace summary as follows:
## Program Summary
- **Language**: [Programming language]
- **Scope**: [Function/Module/Program name]
- **Analysis Type**: [Abstract domain(s) used]
## Control Flow Structure
- **Total paths**: [Number of execution paths]
- **Loops**: [Number and nesting depth]
- **Conditionals**: [Number of branches]
- **Function calls**: [Number of calls]
## Abstract States
### Entry State
[Initial abstract state for variables]
### Key Program Points
**Location L1**: [Statement or label][Abstract state at this point]
**Location L2**: [Statement or label][Abstract state at this point]
### Exit State
[Final abstract state for variables]
## Variable Relationships
[Tracked relationships and constraints between variables]
## Loop Invariants
**Loop at L[X]**:
- **Invariant**: [Properties that hold at loop head]
- **Bound**: [Iteration count estimate]
- **Effect**: [How loop modifies state]
## Function Summaries
**Function [name]**:
- **Precondition**: [Required input conditions]
- **Postcondition**: [Guaranteed output conditions]
- **Side effects**: [Modifications to global state]
- **Complexity**: [Time/space complexity]
## Execution Paths
### Path 1: [Description]
**Condition**: [Path condition]
**Trace**: [Sequence of program points]
**Result**: [Final state or return value]
### Path 2: [Description]
**Condition**: [Path condition]
**Trace**: [Sequence of program points]
**Result**: [Final state or return value]
## Potential Runtime Behaviors
- **Normal termination**: [Conditions and states]
- **Exceptions**: [Possible exceptions and conditions]
- **Non-termination**: [Infinite loops or recursion]
- **Resource usage**: [Memory, time estimates]
## Safety Properties
- **Buffer safety**: [Array bounds checking results]
- **Null safety**: [Null pointer dereference analysis]
- **Type safety**: [Type correctness analysis]
- **Arithmetic safety**: [Overflow/underflow analysis]
## Recommendations
[Suggestions for improving code based on analysis]# Code
for i in range(n):
sum += arr[i]
# Analysis
Entry: sum = 0, i = ⊤, n ∈ [0,+∞]
Loop head: sum ∈ [0,+∞], i ∈ [0,n-1]
Loop invariant: 0 ≤ i < n, sum ≥ 0
Exit: sum ∈ [0,+∞], i = n# Code
if x > 0:
result = x
else:
result = -x
# Analysis
Entry: x ∈ ℤ
Branch 1 (x > 0): x ∈ [1,+∞], result = x ∈ [1,+∞]
Branch 2 (x ≤ 0): x ∈ [-∞,0], result = -x ∈ [0,+∞]
Join: result ∈ [0,+∞]// Code
if (obj != null) {
return obj.getValue();
}
return -1;
// Analysis
Entry: obj ∈ {null, non-null, ⊤}
Branch 1 (obj != null): obj = non-null, access SAFE
Branch 2 (obj == null): obj = null, no dereference
Result: No null pointer dereference possible# Code
for i in range(len(arr)):
arr[i] = 0
# Analysis
Entry: arr has length L ∈ [0,+∞]
Loop: i ∈ [0, L-1]
Access: arr[i] where i ∈ [0, L-1] ⊆ [0, L-1]
Result: All accesses are safeUse when:
Use when:
Use when:
Comprehensive guide to abstract interpretation concepts including abstract domains, lattice operations, transfer functions, control flow analysis, variable relationship tracking, runtime state abstraction, trace summarization techniques, and precision vs performance trade-offs.
Complete examples of abstract trace summarization for various program patterns including simple loops, conditional branches, nested loops, pointer analysis, exception flow, recursive functions, concurrent programs, array bounds checking, string analysis, and state machines.
© ArabelaTso, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/abstract-trace-summarizer of ArabelaTso/Skills-4-SE.
Open the folder on GitHubat commit 4f38503
Abstract Trace Summarizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Abstract Trace Summarizer this skillArabelaTso/Skills-4-SE | 253 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| React Performanceaffaan-m/ECC | 277k | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Summarizeopenclaw/openclaw | 392k | 1 repos | ~531 | Automated safety check: Pass | MIT | |
| Analyze Performance Tracestutti-os/tutti | 3.8k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Handsontable Performance Testinghandsontable/handsontable | 22k | — | ~3.4k | Automated safety check: Pass | Custom licence | |
| Sentry Performance Tracingjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~4.1k | Automated safety check: Pass | MIT |
affaan-m/ECC
React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills).
openclaw/openclaw
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
tutti-os/tutti
Analyze Chrome, Chromium, Electron, React DevTools, or Perfetto-compatible JSON traces and audit user-reported profiling findings without loading large artifacts into context; prove…
handsontable/handsontable
Guide to Handsontable's performance-tests package: Playwright scenarios measured through CDP traces and compared against golden baselines taken from the develop branch.
jeremylongshore/tons-of-skills-marketplace
Set up performance monitoring and distributed tracing with Sentry.
alirezarezvani/claude-skills
Systematic performance profiling for Node.js, Python, and Go applications.
ArabelaTso/Skills-4-SE
Generate prioritized CVE watchlists and actionable security recommendations for repositories.
ArabelaTso/Skills-4-SE
Automatically migrate Python web applications between frameworks (Flask → FastAPI, Django → FastAPI).
ArabelaTso/Skills-4-SE
Generate test cases using metamorphic testing by applying transformations based on metamorphic properties.
ArabelaTso/Skills-4-SE
Instruments programs to capture execution traces specifically for reproducing reported bugs, enabling consistent replay and diagnosis of failures.
ArabelaTso/Skills-4-SE
Automatically migrate Spring MVC applications to Spring Boot.
ArabelaTso/Skills-4-SE
Instrument programs (Python, C/C++, Java) to capture snapshots of key program states at runtime, including variables, memory, and call stacks.
Performs abstract interpretation to produce summarized execution traces and high-level program behavior representations. Abstract Trace Summarizer is an agent skill from ArabelaTso/Skills-4-SE. Performs abstract interpretation to produce summarized execution traces and high-level program behavior representations.
Abstract Trace Summarizer fits situations like: analyzing program behavior; understanding execution paths; computing loop invariants; tracking variable ranges.
Run `npx skills add ArabelaTso/Skills-4-SE --skill abstract-trace-summarizer -a claude-code`. Or copy the skill folder (skills/abstract-trace-summarizer in ArabelaTso/Skills-4-SE) into .claude/skills/abstract-trace-summarizer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ArabelaTso/Skills-4-SE --skill abstract-trace-summarizer -a codex`. Or copy the skill folder (skills/abstract-trace-summarizer in ArabelaTso/Skills-4-SE) into .agents/skills/abstract-trace-summarizer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ArabelaTso/Skills-4-SE --skill abstract-trace-summarizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/abstract-trace-summarizer, .gemini/skills/abstract-trace-summarizer, .github/skills/abstract-trace-summarizer and .opencode/skills/abstract-trace-summarizer in your project.
SKILL.md names no scripts, command-line tools or credentials: Abstract Trace Summarizer is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Abstract Trace Summarizer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Abstract Trace Summarizer: React Performance (affaan-m/ECC, 277k stars), Summarize (openclaw/openclaw, 392k stars), Analyze Performance Traces (tutti-os/tutti, 3.8k stars) and Handsontable Performance Testing (handsontable/handsontable, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ArabelaTso (a GitHub user) maintains it in ArabelaTso/Skills-4-SE, which has 253 GitHub stars. The repository holds 170 skills in this directory. The repository was last updated on August 21, 2026.
Source: ArabelaTso/Skills-4-SE on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.