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Flare

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freekmurze
flare

Manage Flare error tracking and performance monitoring using the flare CLI. Use when the user wants to list, triage, resolve, snooze, or debug errors; manage projects; create projects and retrieve API keys; check error counts; investigate slow routes, queries, jobs, or commands; view aggregated performance data and traces; or interact with flareapp.io from the command line.

Overview

Publisherfreekmurze
Repositorydotfiles
Skill nameflare
Stars
1K
Forks
203
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by freekmurze on GitHub. Read the source before you install it.

Installation

Install the Flare AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/freekmurze/dotfiles/tree/main/config/claude/skills/flare
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/freekmurze/dotfiles.git /tmp/dotfiles
mkdir -p .claude/skills
cp -r /tmp/dotfiles/config/claude/skills/flare .claude/skills/flare
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flare in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Flare on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Flare is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Flare CLI

The flare CLI lets you manage Flare error tracking and performance monitoring from the terminal. Every Flare API endpoint has a corresponding command.

Prerequisites

Check that the CLI is installed:

bash
flare --version

If not installed:

bash
composer global require spatie/flare-cli

Ensure Composer's global bin directory is in PATH:

bash
composer global config bin-dir --absolute

Authentication

bash
# Log in — you'll be prompted for your API token
flare login

# Log out
flare logout

Get your API token at https://flareapp.io/settings/api-tokens.

If any command returns a 401 error, the token is invalid or expired. Run flare login again.

Quick command reference

All commands output JSON. See references/commands.md for full parameter details.

User & team

bash
# Who am I?
flare get-authenticated-user

# Get team details (includes members and roles)
flare get-team --team-id=1

# Remove a user from a team
flare remove-team-user --team-id=1 --user-id=42

Projects

bash
# List all projects (paginated)
flare list-projects

# Filter by name or team
flare list-projects --filter-name="My App" --filter-team-id=1

# Include team info
flare list-projects --include=team

# Create a project
flare create-project --field name="My App" --field team_id=1 --field stage=production --field technology=Laravel

# Delete a project
flare delete-project --project-id=123

Errors

bash
# List errors for a project
flare list-project-errors --project-id=123

# Filter by status, class, file, stage, or level
flare list-project-errors --project-id=123 --filter-status=open --filter-exception-class=RuntimeException

# Sort by most recent
flare list-project-errors --project-id=123 --sort=-last_seen_at

# Get error counts for a date range
flare get-project-error-count --project-id=123 --start-date="2025-01-01 00:00:00" --end-date="2025-01-31 23:59:59"

# Get occurrence counts for a date range
flare get-project-error-occurrence-count --project-id=123 --start-date="2025-01-01 00:00:00" --end-date="2025-01-31 23:59:59"

Error actions

bash
# Resolve an error
flare resolve-error --error-id=456

# Reopen a resolved error
flare unresolve-error --error-id=456

# Snooze forever
flare snooze-error --error-id=456 --field snooze_type=snooze_forever

# Snooze until a date
flare snooze-error --error-id=456 --field snooze_type=snooze_until --field snooze_until=2025-06-01T00:00:00Z

# Snooze for N more occurrences
flare snooze-error --error-id=456 --field snooze_type=snooze_number_of_occurrences --field snooze_number_of_occurrences=50

# Unsnooze
flare unsnooze-error --error-id=456

Occurrences

bash
# List occurrences for an error (includes frames, attributes, events, solutions)
flare list-error-occurrences --error-id=456

# Sort oldest first
flare list-error-occurrences --error-id=456 --sort=received_at

# Get a single occurrence by ID
flare get-error-occurrence --occurrence-id=789

Performance monitoring

The --type parameter accepts: routes, queries, jobs, commands, external-http, views, livewire-components.

The --filter-interval parameter accepts: 1h, 3h, 6h, 24h (default), 48h, 7d, 14d.

bash
# Get a performance summary for a project (metrics + trends + top-10 slowest)
flare get-monitoring-summary --project-id=123

# List aggregated performance data for routes (paginated, sortable, filterable)
flare list-monitoring-aggregations --project-id=123 --type=routes --sort=-p95

# Filter aggregations — the operator is encoded in the parameter name (e.g. p95:>=), pass only the value
flare list-monitoring-aggregations --project-id=123 --type=queries --filter-p95=500

# Get time series data for a monitoring type
flare get-monitoring-time-series --project-id=123 --type=routes --filter-interval=7d

# Get details for a specific aggregation (e.g. a single route or query)
flare get-monitoring-aggregation --type=routes --uuid=<uuid> --include=parents,children

# List traces for an aggregation (slowest first by default)
flare list-aggregation-traces --type=routes --uuid=<uuid> --sort=slowest

# Get a full trace with span tree, events, resources, and contexts
flare get-trace --trace-id=<trace-id>

Pagination

All list commands support pagination:

bash
flare list-project-errors --project-id=123 --page-number=2 --page-size=20

Response includes meta (current_page, total, last_page) and links (next/prev URLs).

Common workflows

Error triage

List open errors, categorize by exception class, resolve or snooze in batches. See references/workflows.md for the full triage workflow.

Quick version:

bash
# 1. List open errors sorted by most recent
flare list-project-errors --project-id=123 --filter-status=open --sort=-last_seen_at

# 2. Review each error, resolve fixed ones
flare resolve-error --error-id=456

# 3. Snooze noisy but non-critical errors
flare snooze-error --error-id=789 --field snooze_type=snooze_forever

Debug an error with local code

Fetch an occurrence, find application frames, then read the corresponding local files. See references/workflows.md for detailed steps.

Quick version:

bash
# 1. Get the latest occurrence
flare list-error-occurrences --error-id=456 --sort=-received_at --page-size=1

# 2. Look at the frames where application_frame=true
# 3. Read the local file at the reported line number
# 4. Check attributes for request context, events for log trail, solutions for fixes

Investigate slow performance

Get a performance overview, drill into slow aggregations, and inspect individual traces. See references/workflows.md for the full workflow.

Quick version:

bash
# 1. Get the performance summary
flare get-monitoring-summary --project-id=123 --filter-interval=24h

# 2. List the slowest routes by p95
flare list-monitoring-aggregations --project-id=123 --type=routes --sort=-p95

# 3. Get details on a specific slow route
flare get-monitoring-aggregation --type=routes --uuid=<uuid> --include=children

# 4. List traces for that route, slowest first
flare list-aggregation-traces --type=routes --uuid=<uuid>

# 5. Inspect the slowest trace
flare get-trace --trace-id=<trace-id>

Create a project and get API keys

Create a project via CLI, retrieve API keys, and verify errors are flowing. See references/workflows.md for the step-by-step guide.

Output format

All commands return JSON. When presenting results to the user:

  • Errors: Show as a table with columns: ID, exception class, message (truncated), status, occurrence count, last seen. Always include the latest_occurrence_url_on_flare link.
  • Occurrences: Highlight application frames (where application_frame is true) — these are the user's code, not vendor code. Show the relative_file and line_number.
  • Solutions: If solutions is non-empty, always present them prominently — they contain actionable fix suggestions.
  • Attributes: Group by the group field (e.g., request, user, environment) when displaying context.
  • Events: Show chronologically — they represent the execution trail leading to the error (queries, logs, jobs, etc.).
  • Flare URLs: Include latest_occurrence_url_on_flare so the user can view the full error in the Flare dashboard.
  • Monitoring aggregations: Show as a table with columns: name/label, p95, average, count, error rate. Highlight aggregations with high p95 or error rate.
  • Traces: Show the span tree hierarchically. Highlight spans with the longest duration — these are the bottlenecks.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Flare AI skill do?

Manage Flare error tracking and performance monitoring using the flare CLI. Use when the user wants to list, triage, resolve, snooze, or debug errors; manage projects; create projects and retrieve API keys; check error counts; investigate slow routes, queries, jobs, or commands; view aggregated performance data and traces; or interact with flareapp.io from the command line.

Why use Flare on TypingMind?

Because you install it once and use it with any model. Flare is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Flare in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/freekmurze/dotfiles/tree/main/config/claude/skills/flare. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Flare?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Flare?

As many as you like. As long as a model supports skills, you can use Flare with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Flare AI skill free?

Yes. It is published on GitHub by freekmurze under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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