Agent skill · AI & Agents

meta-stack-trace-investigator

Use this meta-skill instead of answering directly when the user gives a stack trace, traceback, runtime error, or failing log that benefits from multi-skill orchestration across trace parsing, repo/history inspection, patch-target analysis, reproduction guidance, and verification commands.

opensquilla6,385★ · +160/wk · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add opensquilla/opensquilla --skill meta-stack-trace-investigator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 27 KB
Bundled scripts: none
Path: src/opensquilla/skills/exp/meta-stack-trace-investigator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 6,515 · +130 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

Review
written from the skill's own SKILL.md · Aug 5, 2026

What it does

You use a meta-skill to handle stack traces, tracebacks, runtime errors, or failing logs that benefit from coordinated analysis across trace parsing, repository/history inspection, patch-target analysis, reproduction guidance, and verification commands. It guides the agent to extract a compact investigation brief from the original request without asking for confirmation when enough information exists.

How it works

  • The skill defines a sequence of steps performed by multiple sub-skills and tools. It starts by collecting investigation facts from the user message, producing a structured JSON with language, expected behavior, recent changes, trace presence, primary exception, and primary files.
  • It then parses the trace to extract a JSON object containing exception_class, exception_message, primary_file, primary_line, symbols, and language.
  • It attempts repository grepping for parse results, issues, git history, diff context, and memory as separate steps, each with degraded fallbacks if tools fail.
  • A language-specific probe is invoked via a language_probe step, routing to Python/JS/Go/Rust probes based on parsed language.
  • It synthesizes a bounded root-cause hypothesis from all evidence, then proposes safe verification commands and a minimal reproducer plan.
  • The final output is a degraded-summary that strictly presents the final investigation report in a fixed format.

When to use it

Use this meta-skill when the user provides a stack trace, traceback, runtime error, or failing log that benefits from orchestrated analysis across parsing, repo/history inspection, and reproduction/verification guidance.

What it can touch

The skill interacts with shell and filesystem, runs repository searches, accesses git history, and executes a set of sub-skills/tools as part of the investigation pipeline. It routes to language-specific probes and uses multiple tool calls to gather evidence and synthesize a root-cause hypothesis.

Caveats

The workflow defines degraded-evidence fallbacks if certain steps fail (grep_repo, search_issues, git_history, diff_context, history_patterns, memory_recall). It preserves a non-authoritative stance, emphasizing evidence from the trace and target repository, and avoids fabricating prior incidents. The license is Apache-2.0.

From the SKILL.md

# Stack-Trace Investigator (Meta-Skill) A **combinator-style** meta-skill that converts a pasted stack trace into a structured root-cause report. It now classifies Python, JavaScript, TypeScript, Go, Rust, or unknown traces before running the investigation. After parsing the trace once, heterogeneous investigations run in parallel: 1. **`grep_repo`** — ripgrep for the symbols in the current repo 2. **`search_issues`** — `gh issue list` for similar reported problems 3. **`git_history`** — recent commits touching the affected files 4. **`diff_context`** — `git-diff` skill for current worktree context 5. **`history_patterns`** — `history-explorer` skill for prior skill/router usage patterns 6. **`memory_recall`** — prior incidents stored under the `traceback` topic 7. **`language_probe`** — routed to the language-specific helper skill (`stack-trace-python-probe`, `stack-trace-js-probe`, `stack-trace-go-probe`, `stack-trace-rust-probe`, or generic fallback) The `root_cause` and `repro_suggestion` steps fan the signals into a hypothesis, concrete fix targets, and verification commands. The final summary labels degraded evidence sources explicitly before persisting the incident. ## Trigg

What's inside
Steps it walks through
  1. Trigger surface
  2. Fallback
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About this skill
What does the meta-stack-trace-investigator skill do?

Use this meta-skill instead of answering directly when the user gives a stack trace, traceback, runtime error, or failing log that benefits from multi-skill orchestration across trace parsing, repo/history inspection, patch-target analysis, reproduction guidance, and verification commands.

How do I install it?

Run `npx skills add opensquilla/opensquilla --skill meta-stack-trace-investigator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From opensquilla/opensquilla, a repository with 6,515 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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