{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-gbti-snapshots-for-ai","slug":"snapshots-for-ai","name":"Snapshots for AI","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=GBTI.snapshots-for-ai","page_url":"https://unfragile.ai/snapshots-for-ai","categories":["code-editors"],"tags":["ai","claude","context-retrieval","gpt","grok","llama","llm","markdown","rag","snapshot"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-gbti-snapshots-for-ai__cap_0","uri":"capability://data.processing.analysis.selective.file.snapshot.generation","name":"selective-file-snapshot-generation","description":"Generates markdown-formatted snapshots of user-selected code files through a VS Code UI dialog, applying configurable glob-pattern filtering to exclude directories like node_modules and .git. The extension reads file contents from the workspace, applies syntax highlighting via markdown code fence language tags, and structures output as a single markdown document suitable for pasting into external AI assistants. File selection is user-controlled via checkbox UI with select/deselect-all functionality.","intents":["I want to quickly prepare a subset of my codebase as markdown to share with Claude or ChatGPT without manually copying files","I need to exclude build artifacts and dependencies automatically when creating AI context snapshots","I want to selectively include only the files relevant to my current problem for AI analysis"],"best_for":["solo developers iterating with AI coding assistants","teams preparing code context for external AI code review","developers prototyping with LLMs who need quick context export"],"limitations":["Binary files are automatically filtered with no option to include them, limiting snapshot utility for projects with embedded assets","No built-in size limits or warnings — very large projects may generate unwieldy markdown documents that exceed AI context windows","File selection UI is modal and blocking — cannot batch-generate multiple snapshots or automate snapshot creation via CLI","No incremental snapshots or diff-based exports — each snapshot regenerates full file contents even if only minor changes occurred","Markdown output structure is not documented — no schema definition for how files are ordered, delimited, or structured in the output"],"requires":["Visual Studio Code (minimum version unknown, not documented)","Read access to workspace files and directory structure","No API keys or external service dependencies"],"input_types":["code files (all text-based languages)","project directory structure","user file selections via UI"],"output_types":["markdown document with embedded code blocks","plain text (markdown format)"],"categories":["data-processing-analysis","context-preparation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gbti-snapshots-for-ai__cap_1","uri":"capability://data.processing.analysis.project.structure.tree.export","name":"project-structure-tree-export","description":"Optionally includes a full project directory tree visualization in the markdown snapshot when the `default_include_entire_project_structure` configuration flag is enabled. The extension traverses the workspace directory hierarchy, respects exclusion patterns (node_modules, .git, etc.), and formats the tree as markdown text (likely using indentation or tree-drawing characters). This provides AI assistants with a high-level overview of project organization without including file contents.","intents":["I want to give an AI assistant a visual map of my project structure so it understands the codebase organization","I need to show the directory hierarchy alongside code snippets to provide architectural context","I want to document project layout in a snapshot for reference or code review"],"best_for":["developers explaining large or unfamiliar codebases to AI assistants","teams generating project documentation snapshots","architects preparing codebase overviews for AI-assisted refactoring"],"limitations":["Tree export is all-or-nothing — no granular control over which directories to include in the tree visualization","Tree structure respects exclusion patterns but may still be verbose for deeply nested projects, making the markdown output harder to parse","No metadata in tree output (file sizes, modification dates, line counts) — tree is purely structural","Tree rendering format is undocumented — unclear if it uses markdown list syntax, ASCII art, or other formatting"],"requires":["Visual Studio Code workspace with accessible directory structure","Configuration flag `default_include_entire_project_structure` set to `true` in `.snapshots/config.json`"],"input_types":["project directory structure","exclusion/inclusion glob patterns"],"output_types":["markdown-formatted directory tree","plain text tree visualization"],"categories":["data-processing-analysis","documentation-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gbti-snapshots-for-ai__cap_2","uri":"capability://data.processing.analysis.configurable.exclusion.pattern.filtering","name":"configurable-exclusion-pattern-filtering","description":"Applies glob-pattern-based filtering to exclude files and directories from snapshots via a `.snapshots/config.json` configuration file with `excluded_patterns` and `included_patterns` arrays. The extension evaluates file paths against these patterns during snapshot generation, allowing developers to persistently exclude common non-essential directories (node_modules, .git, build artifacts) without manual selection each time. Inclusion patterns can override exclusion rules for selective re-inclusion of files.","intents":["I want to automatically exclude node_modules and build directories from every snapshot without manually deselecting them","I need to define project-specific exclusion rules (e.g., .env files, vendor directories) that persist across snapshot generations","I want to force-include certain files that would normally be excluded by broader patterns"],"best_for":["developers working on large projects with many non-essential files","teams standardizing snapshot generation across a codebase with shared config","developers protecting sensitive files (secrets, credentials) from accidental inclusion"],"limitations":["Glob pattern syntax is not documented — unclear if it supports advanced patterns like negation, character classes, or recursive wildcards","No UI for editing exclusion patterns — requires manual JSON editing in `.snapshots/config.json`, creating friction for non-technical team members","Inclusion patterns cannot be selectively applied per-snapshot — they are global rules that apply to all snapshot generations","No validation or error messages for malformed glob patterns — invalid patterns may silently fail to match intended files","Binary file filtering is hardcoded and cannot be disabled — no way to include binary files even if explicitly added to inclusion patterns"],"requires":["`.snapshots/config.json` file in the workspace root or parent directory","Valid glob pattern syntax (specific syntax rules unknown)","Write access to config file for modifications"],"input_types":["glob pattern strings","file paths from workspace","configuration JSON"],"output_types":["filtered file list","inclusion/exclusion decisions per file"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gbti-snapshots-for-ai__cap_3","uri":"capability://text.generation.language.prepended.prompt.context.injection","name":"prepended-prompt-context-injection","description":"Allows developers to define a `default_prompt` string in `.snapshots/config.json` that is automatically prepended to every generated snapshot as markdown text. This prompt can provide instructions, context, or questions for the AI assistant that will receive the snapshot. The prompt is included before the code content, enabling developers to frame the snapshot with specific requests or background information without manual editing.","intents":["I want to automatically include a prompt like 'Review this code for security issues' at the top of every snapshot I generate","I need to provide background context or project-specific instructions that should accompany every code snapshot","I want to standardize the framing of snapshots across my team with a consistent prompt template"],"best_for":["developers with repetitive AI interaction patterns (e.g., always asking for code review)","teams standardizing snapshot generation with consistent prompts","developers automating snapshot-to-AI workflows with pre-defined instructions"],"limitations":["Prompt is static and global — no per-snapshot customization or dynamic prompt generation","No template variables or interpolation — cannot inject file names, project names, or other context into the prompt","Prompt is prepended as plain text — no special formatting or markdown structure to distinguish it from code content","No UI for editing prompts — requires manual JSON editing in `.snapshots/config.json`","Prompt is included in every snapshot — no way to generate snapshots without the prepended prompt"],"requires":["`.snapshots/config.json` file with `default_prompt` field","Write access to config file for modifications"],"input_types":["prompt string from configuration","snapshot content"],"output_types":["markdown document with prepended prompt text"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gbti-snapshots-for-ai__cap_4","uri":"capability://text.generation.language.syntax.highlighted.markdown.code.blocks","name":"syntax-highlighted-markdown-code-blocks","description":"Formats exported code files as markdown code blocks with language-specific syntax highlighting tags (e.g., python, javascript). The extension infers the language from file extensions and applies the appropriate markdown language identifier, enabling AI assistants and markdown renderers to apply syntax highlighting when displaying the snapshot. This improves readability and helps AI models understand code structure through visual formatting.","intents":["I want the code in my snapshot to be properly syntax-highlighted when I paste it into ChatGPT or Claude","I need AI assistants to recognize the programming language of my code snippets for better analysis","I want markdown renderers to display my snapshot with proper code formatting and colors"],"best_for":["developers sharing code with AI assistants that support markdown rendering","teams generating documentation snapshots with proper code formatting","developers working with multiple programming languages in a single snapshot"],"limitations":["Language detection relies on file extensions — files with non-standard extensions or no extension will not be highlighted","Syntax highlighting implementation is undocumented — unclear if it uses a language detection library or simple extension mapping","No support for mixed-language files or embedded code blocks — each file is treated as a single language","Highlighting quality depends on the AI assistant or markdown renderer — the extension only provides language tags, not actual syntax coloring","No custom language mappings — cannot define custom file-to-language associations for non-standard file types"],"requires":["Standard file extensions matching programming languages (e.g., .py, .js, .java)","AI assistant or markdown renderer that supports syntax highlighting"],"input_types":["code files with language-identifiable extensions","file content as text"],"output_types":["markdown code blocks with language identifiers","formatted text with syntax highlighting tags"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gbti-snapshots-for-ai__cap_5","uri":"capability://automation.workflow.one.click.snapshot.generation.ui","name":"one-click-snapshot-generation-ui","description":"Provides a camera icon button in the VS Code editor title bar that triggers snapshot generation with a single click. Clicking the icon opens a file selection dialog where users can check/uncheck individual files and use select/deselect-all buttons to control which files are included. The UI is modal and blocking, requiring the user to complete file selection before the snapshot is generated. This integration makes snapshot creation a native VS Code workflow without requiring command-line invocation or menu navigation.","intents":["I want to quickly generate a code snapshot without leaving the editor or opening menus","I need a visual way to select which files to include in my snapshot before generation","I want to use keyboard shortcuts or quick UI interactions to prepare code for AI assistants"],"best_for":["developers who frequently generate snapshots during coding sessions","users who prefer UI-based workflows over command-line tools","teams where non-technical members need to generate snapshots"],"limitations":["Camera icon placement in title bar may be obscured or hard to find in VS Code with many extensions","File selection dialog is modal — blocks other editor interactions until file selection is complete","No keyboard shortcuts documented — unclear if snapshot generation can be triggered via keybindings","No batch snapshot generation — each snapshot requires separate UI interaction","File selection dialog may be slow or unresponsive for projects with thousands of files","No preview of snapshot content before generation — users cannot see the final markdown output until after generation"],"requires":["Visual Studio Code with the extension installed","Visible editor title bar (may be hidden in some VS Code layouts)"],"input_types":["user UI interactions (clicks, checkbox selections)","file system state"],"output_types":["generated markdown snapshot","user selection state"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gbti-snapshots-for-ai__cap_6","uri":"capability://data.processing.analysis.workspace.aware.file.discovery","name":"workspace-aware-file-discovery","description":"Automatically discovers and lists all text-based files in the VS Code workspace, excluding binary files and respecting the configured exclusion patterns. The extension scans the workspace directory structure, filters out non-text files (images, executables, compiled artifacts), and presents the remaining files in the selection dialog. This enables developers to see all available code files without manually navigating the file system, while automatically hiding irrelevant binary content.","intents":["I want to see all code files in my project without manually navigating directories","I need the snapshot tool to automatically exclude binary files and build artifacts","I want to quickly find and select specific files from a large project without scrolling through the entire file tree"],"best_for":["developers working on large projects with many files","teams with mixed binary and source file projects","developers who need quick visibility into available code files"],"limitations":["Binary file filtering is hardcoded and cannot be disabled — no way to include binary files even if needed","File discovery may be slow for projects with tens of thousands of files, causing UI lag","No file search or filtering in the selection dialog — users must scroll through the entire list to find specific files","File list is not sorted or organized by directory — unclear how files are ordered in the selection dialog","No file metadata displayed (size, modification date, line count) — only file names and paths are shown","Symlinks and special files are not documented — unclear how they are handled"],"requires":["VS Code workspace with accessible file system","Read permissions on workspace files and directories"],"input_types":["workspace directory structure","file system metadata","exclusion/inclusion patterns"],"output_types":["filtered list of text-based files","file paths and names"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gbti-snapshots-for-ai__cap_7","uri":"capability://automation.workflow.include.all.files.bulk.snapshot.mode","name":"include-all-files-bulk-snapshot-mode","description":"Provides a configuration flag `default_include_all_files` that, when enabled, automatically includes all discovered files in the snapshot without requiring user file selection. This bypasses the modal file selection dialog and generates the snapshot with all non-excluded files in a single operation. This mode is useful for generating comprehensive project snapshots without manual interaction, though it may produce very large markdown documents.","intents":["I want to generate a complete project snapshot with all code files in one click","I need to create a comprehensive codebase overview for AI analysis without manually selecting files","I want to automate snapshot generation for CI/CD pipelines or batch processing"],"best_for":["developers generating comprehensive project documentation","teams preparing full codebase snapshots for AI-assisted refactoring","developers automating snapshot generation in scripts or workflows"],"limitations":["All-or-nothing approach — no granular control over which files to include when this mode is enabled","May generate extremely large markdown documents that exceed AI context windows or become unwieldy to share","No size warnings or limits — developers may unknowingly create snapshots that are too large to process","Still respects exclusion patterns — cannot override exclusions to include all files without modification","No incremental or differential snapshots — always regenerates the entire project snapshot","No way to preview snapshot size before generation"],"requires":["Configuration flag `default_include_all_files` set to `true` in `.snapshots/config.json`"],"input_types":["configuration flag","workspace file list"],"output_types":["markdown snapshot with all non-excluded files"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gbti-snapshots-for-ai__cap_8","uri":"capability://automation.workflow.markdown.clipboard.export","name":"markdown-clipboard-export","description":"Generates the snapshot as a markdown document and exports it to the system clipboard, enabling developers to immediately paste the content into external AI assistants (ChatGPT, Claude, etc.) without saving to disk or using file operations. The markdown is formatted with code blocks, optional project structure, and prepended prompts, all ready for consumption by AI chat interfaces. This streamlines the workflow of preparing code context and sharing it with external AI tools.","intents":["I want to copy my code snapshot directly to the clipboard so I can paste it into ChatGPT or Claude immediately","I need to quickly share code context with an AI assistant without saving files or using file dialogs","I want a seamless workflow from VS Code to AI chat without intermediate steps"],"best_for":["developers frequently interacting with AI coding assistants","teams using AI tools for code review and analysis","developers who prefer clipboard-based workflows over file management"],"limitations":["Clipboard export size is limited by system clipboard capacity — very large snapshots may fail to copy","No feedback on successful clipboard copy — unclear if the operation succeeded or if content was truncated","Clipboard content is ephemeral — overwriting the clipboard loses the snapshot unless saved separately","No history or undo — cannot recover previous snapshots from clipboard","Markdown rendering depends on the target AI assistant — some tools may not render markdown correctly","No option to save snapshot to disk as alternative to clipboard export"],"requires":["System clipboard access (available on Windows, macOS, Linux)","VS Code extension API for clipboard operations"],"input_types":["generated markdown snapshot"],"output_types":["clipboard content (markdown text)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":38,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code (minimum version unknown, not documented)","Read access to workspace files and directory structure","No API keys or external service dependencies","Visual Studio Code workspace with accessible directory structure","Configuration flag `default_include_entire_project_structure` set to `true` in `.snapshots/config.json`","`.snapshots/config.json` file in the workspace root or parent directory","Valid glob pattern syntax (specific syntax rules unknown)","Write access to config file for modifications","`.snapshots/config.json` file with `default_prompt` field","Standard file extensions matching programming languages (e.g., .py, .js, .java)"],"failure_modes":["Binary files are automatically filtered with no option to include them, limiting snapshot utility for projects with embedded assets","No built-in size limits or warnings — very large projects may generate unwieldy markdown documents that exceed AI context windows","File selection UI is modal and blocking — cannot batch-generate multiple snapshots or automate snapshot creation via CLI","No incremental snapshots or diff-based exports — each snapshot regenerates full file contents even if only minor changes occurred","Markdown output structure is not documented — no schema definition for how files are ordered, delimited, or structured in the output","Tree export is all-or-nothing — no granular control over which directories to include in the tree visualization","Tree structure respects exclusion patterns but may still be verbose for deeply nested projects, making the markdown output harder to parse","No metadata in tree output (file sizes, modification dates, line counts) — tree is purely structural","Tree rendering format is undocumented — unclear if it uses markdown list syntax, ASCII art, or other formatting","Glob pattern syntax is not documented — unclear if it supports advanced patterns like negation, character classes, or recursive wildcards","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.44,"quality":0.28,"ecosystem":0.35000000000000003,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.803Z","last_scraped_at":"2026-05-03T15:20:33.198Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=snapshots-for-ai","compare_url":"https://unfragile.ai/compare?artifact=snapshots-for-ai"}},"signature":"OjHv/r0pG9rhwIW/lU44DYVyWE7jkh4L1h1mIhlws733oOaPMmZS4mmTSIFr120pBtppLRkjeC+8fg4C0c/rDg==","signedAt":"2026-06-19T21:31:33.160Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/snapshots-for-ai","artifact":"https://unfragile.ai/snapshots-for-ai","verify":"https://unfragile.ai/api/v1/verify?slug=snapshots-for-ai","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}