reflect

Imported from bostonaholic/reflect (skills/reflect/SKILL.md). Install upstream with npx skills add bostonaholic/reflect --skill reflect. Copyright stays with the author.

Reflect

Reflect is a CLI tool that fetches GitHub activity -- merged pull requests, closed issues, and PR reviews -- and uses LLM APIs to generate professional brag documents for performance reviews. It connects to the GitHub GraphQL API via Octokit to retrieve contribution data, then optionally passes that data through an LLM provider (OpenAI or Anthropic) to produce summarized and narrative-format documents. All output is written as structured Markdown files suitable for self-assessments, promotion packets, and manager reviews.

First-Time Setup

Prerequisites

Ensure the following are available before running Reflect for the first time:

• Node.js >= 22.15.1 -- Install via nodenv (preferred) or nvm. Verify the installed version by running node --version. Reflect uses TypeScript with ES2022 features that require this minimum version.
• npm -- Included with Node.js. Used by the setup script to install project dependencies.
• GitHub Personal Access Token (PAT) -- Create a classic token with repo and read:org scopes. Navigate to GitHub Settings > Developer Settings > Personal Access Tokens > Tokens (classic) to generate one. The repo scope grants access to private repository data. The read:org scope allows reading organization membership, which is needed for org-based filtering.
• LLM API key (optional, required only for brag document generation) -- Obtain an OPENAI_API_KEY from OpenAI or an ANTHROPIC_API_KEY from Anthropic. Only one key is needed, matching the chosen --provider flag.

Install Dependencies and Configure Environment

Follow these steps to prepare the local environment:

1. Run the dev setup from the repository root:

   dev up

   This installs Node.js, npm dependencies, and copies .env.example to .env if it doesn't already exist.

2. Edit .env and set the required variables:

   GITHUB_TOKEN=ghp_xxxxxxxxxxxxxxxxxxxx
   OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxx

   Replace the placeholder values with real tokens. Set ANTHROPIC_API_KEY instead of OPENAI_API_KEY when planning to use the Anthropic provider. Ensure there are no spaces around the = sign in each line. The .env file must reside in the repository root directory.

For detailed environment variable documentation, including optional base URL overrides and debug mode, see references/configuration.md.

Running Reflect

Basic Command Structure

./reflect --username <github-username> \
  --lookback <months> [options]

./reflect --username <github-username> \
  --since <YYYY-MM-DD> [options]

./reflect --username <github-username> \
  --start-date <YYYY-MM-DD> \
  --end-date <YYYY-MM-DD> [options]

Reflect requires a GitHub username and a date range specified by one of three mutually exclusive modes. All other flags are optional. The tool loads environment variables from .env at startup, fetches GitHub data via the GraphQL API, generates the base contribution reports, and optionally calls an LLM to produce summarized and brag documents.

Required Flags

• --username <username> -- GitHub username to analyze. Must contain only alphanumeric characters, hyphens, and underscores (pattern: [a-zA-Z0-9_-]+). The tool validates this format before making any API calls and exits with an error if the format is invalid.

Date Range Flags (one required)

These three modes are mutually exclusive. Provide exactly one:

• --lookback <number> -- Number of months to look back for activity. Must be a positive integer not exceeding 36. The tool calculates a date range from the current date backward by this many months and fetches all qualifying activity within that window.
• --since <date> -- Start date in YYYY-MM-DD format. Fetches all activity from this date up to today. The date must be in the past and within 36 months of the current date.
• --start-date <date> + --end-date <date> -- Explicit date range in YYYY-MM-DD format. Both flags are required together. Start date must be before or equal to end date, and the range cannot exceed 36 months.

Optional Flags

• --brag -- Enable brag document generation. When present, Reflect sends the contributions report to the configured LLM provider to generate both a summarized contributions file and a professional brag document. Requires a valid LLM API key in the .env file. Without this flag, only the raw contribution and review reports are generated.
• --provider <provider> -- LLM provider to use for brag document generation. Valid values: openai, anthropic. Defaults to openai. The provider determines which API key environment variable is required (OPENAI_API_KEY for OpenAI, ANTHROPIC_API_KEY for Anthropic). The CLI validates the provider value and exits with an error if it is not recognized.
• --model <model> -- LLM model to use for text generation. Defaults to gpt-5.5 when the provider is openai and to claude-opus-4-7 when the provider is anthropic. Override this to use a different model from the chosen provider, such as gpt-5.5-mini for OpenAI or claude-sonnet-4-6 for Anthropic.
• --debug -- Enable debug mode for detailed LLM API information. When present, Reflect logs additional diagnostic output including API request and response details such as token usage, model name, and completion status. Deprecated in favor of setting DEBUG=1 in the environment.

Filtering Flags

Use filtering flags to scope GitHub results to specific organizations or repositories. These flags control which contributions appear in the output.

• --include-orgs <orgs...> -- Only include contributions from the listed organizations. Provide one or more organization names separated by spaces. Each name must match the GitHub username format ([a-zA-Z0-9_-]+).
• --exclude-orgs <orgs...> -- Exclude contributions from the listed organizations. Provide one or more organization names separated by spaces. Each name must match the GitHub username format.
• --include-repos <repos...> -- Only include contributions from the listed repositories. Provide one or more repository identifiers in owner/repo format, separated by spaces. Both the owner and repository name are validated.
• --exclude-repos <repos...> -- Exclude contributions from the listed repositories. Provide one or more repository identifiers in owner/repo format, separated by spaces.

Mutual Exclusivity Rules

The CLI enforces the following constraints and exits with an error message if violated:

• --include-orgs and --exclude-orgs cannot be used together. Choose one or the other to filter by organization.
• --include-repos and --exclude-repos cannot be used together. Choose one or the other to filter by repository.
• Organization filters and repository filters may be combined freely. For example, use --include-orgs together with --exclude-repos to include all contributions from certain organizations while excluding specific repositories.

Example Commands

Generate a basic activity report for the last 6 months (no LLM calls, produces only contribution and review reports):

./reflect --username bostonaholic --lookback 6

Generate a full brag document with the default OpenAI provider and default model (gpt-5.5):

./reflect --username bostonaholic --lookback 6 --brag

Fetch all activity since a specific date:

./reflect --username bostonaholic \
  --since 2025-01-01 --brag

Use the Anthropic provider with a specific model:

./reflect --username bostonaholic --lookback 6 \
  --provider anthropic --model claude-opus-4-7 \
  --brag

Include only contributions from specific organizations:

./reflect --username bostonaholic --lookback 6 \
  --include-orgs shopify github

Exclude contributions from specific organizations:

./reflect --username bostonaholic --lookback 6 \
  --exclude-orgs secret archived

Include only contributions from specific repositories:

./reflect --username bostonaholic --lookback 6 \
  --include-repos bostonaholic/reflect \
  bostonaholic/dotfiles

Exclude contributions from specific repositories:

./reflect --username bostonaholic --lookback 6 \
  --exclude-repos bostonaholic/secret \
  bostonaholic/archived

Combine organization and repository filters:

./reflect --username bostonaholic --lookback 12 \
  --include-orgs shopify \
  --exclude-repos shopify/internal-tools \
  --brag

Understanding Output

All output files are written to the output/ directory at the repository root. The directory is created automatically on the first run if it does not exist. When a file already exists, Reflect prompts for overwrite confirmation before replacing it. Choosing not to overwrite causes Reflect to use the existing file contents for any downstream processing (such as feeding contributions into the LLM summarizer). The output/ directory is git-ignored to prevent accidental commits of generated content.

Files Always Generated

These two files are produced on every run, regardless of whether the --brag flag is present:

output/contributions.md

A chronological GitHub activity report containing all merged pull requests and closed issues within the lookback period. Each entry includes the title, closing date, description body, and repository name. Items are sorted by closing date with the most recent first. This file provides the foundational data that feeds all downstream reports. When --brag is enabled, this file is sent to the LLM for summarization.

output/review_contributions.md

A report of PR review comments authored by the specified user within the lookback period. Each entry includes the review state (approved, changes requested, commented), the review body text, and individual review comments. This file captures code review activity, which is distinct from code authoring contributions and often reflects mentorship and collaboration efforts.

Files Generated with --brag

These two files are produced only when the --brag flag is present. They require a valid LLM API key (OPENAI_API_KEY or ANTHROPIC_API_KEY) to be set in the .env file. Generation happens sequentially: the summarized contributions are produced first, then the brag document is generated from that summary.

output/summarized_contributions.md

An LLM-generated summary of the raw contributions report. The LLM groups similar contributions together, highlights key technical changes and improvements, identifies recurring patterns across the work, and notes significant architectural decisions. This intermediate file serves as the input for the final brag document and can also stand alone as a concise technical summary for engineering-focused reviews.

output/brag_document.md

A professional brag document generated by the LLM from the summarized contributions. The document is structured to focus on business impact and value delivered, emphasize collaboration and leadership moments, highlight key metrics and improvements, and present achievements in a narrative format. It is formatted for direct use in performance reviews, promotion packets, or portfolio presentations.

Common Issues

Below is a quick reference for frequent problems. Each entry describes the symptom and the recommended fix. For detailed step-by-step troubleshooting procedures, see references/troubleshooting.md.

• "No .env file found" -- Run dev up to automatically copy .env.example to .env. Edit .env with the required variables. Ensure no spaces surround the = sign in each entry.
• GitHub API errors -- Verify the GITHUB_TOKEN is set in .env, has both repo and read:org scopes, and has not expired. Re-generate the token if the scopes are incorrect.
• Empty output files -- Confirm the username is correct and that merged PRs or closed issues exist within the specified date range. Try increasing the --lookback value or using an earlier --since date to capture a wider time range.
• LLM API key errors -- Ensure the correct API key variable is set: OPENAI_API_KEY for the openai provider or ANTHROPIC_API_KEY for the anthropic provider. Confirm the key is valid and has sufficient credits or quota remaining.
• "Invalid GitHub username format" -- The username must contain only alphanumeric characters, hyphens, and underscores. Remove any special characters or whitespace from the --username value.
• "Months must be a positive number and not exceed 36" -- Provide a --lookback value between 1 and 36 inclusive. The value must be a positive integer.
• "Cannot combine --lookback, --since, and --start-date/--end-date" -- Use exactly one date range mode. Remove conflicting date flags.
• "Since date must be in the past" -- The --since date is in the future. Provide a past date in YYYY-MM-DD format.
• "Cannot use both --include-orgs and --exclude-orgs simultaneously" -- Remove one of the conflicting flags and re-run the command. The same mutual exclusivity rule applies to --include-repos and --exclude-repos.
• TypeScript or syntax errors at startup -- Ensure Node.js >= 22.15.1 is installed. Run node --version to verify. Older versions lack support for the ES2022 features and TypeScript stripping that Reflect requires.
• Rate limiting from GitHub -- The GitHub GraphQL API enforces rate limits. Wait for the reset window indicated in the error message before retrying, or reduce the --lookback period to fetch less data.

Additional Resources

• Configuration Reference -- Full documentation of all environment variables, LLM provider configuration, base URL overrides, debug mode, and .env file format.
• Troubleshooting Guide -- Step-by-step diagnostic procedures for common errors, GitHub API issues, LLM provider failures, and environment setup problems.