tldr-overview▌
parcadei/continuous-claude-v3 · updated Apr 8, 2026
Get a token-efficient overview of any project using the TLDR stack.
TLDR Project Overview
Get a token-efficient overview of any project using the TLDR stack.
Trigger
/overviewor/tldr-overview- "give me an overview of this project"
- "what's in this codebase"
- Starting work on an unfamiliar project
Execution
1. File Tree (Navigation Map)
tldr tree . --ext .py # or .ts, .go, .rs
2. Code Structure (What Exists)
tldr structure src/ --lang python --max 50
Returns: functions, classes, imports per file
3. Call Graph Entry Points (Architecture)
tldr calls src/
Returns: cross-file relationships, main entry points
4. Key Function Complexity (Hot Spots)
For each entry point found:
tldr cfg src/main.py main # Get complexity
Output Format
## Project Overview: {project_name}
### Structure
{tree output - files and directories}
### Key Components
{structure output - functions, classes per file}
### Architecture (Call Graph)
{calls output - how components connect}
### Complexity Hot Spots
{cfg output - functions with high cyclomatic complexity}
---
Token cost: ~{N} tokens (vs ~{M} raw = {savings}% savings)
When NOT to Use
- Already familiar with the project
- Working on a specific file (use targeted tldr commands instead)
- Test files (need full context)
Programmatic Usage
from tldr.api import get_file_tree, get_code_structure, build_project_call_graph
# 1. Tree
tree = get_file_tree("src/", extensions={".py"})
# 2. Structure
structure = get_code_structure("src/", language="python", max_results=50)
# 3. Call graph
calls = build_project_call_graph("src/", language="python")
# 4. Complexity for hot functions
for edge in calls.edges[:10]:
cfg = get_cfg_context("src/" + edge[0], edge[1])
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★30 reviews- ★★★★★Kiara Haddad· Dec 20, 2024
tldr-overview reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Mateo Harris· Dec 20, 2024
We added tldr-overview from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Pratham Ware· Dec 16, 2024
Registry listing for tldr-overview matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Chen Srinivasan· Nov 11, 2024
Registry listing for tldr-overview matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Zaid Rahman· Nov 11, 2024
Useful defaults in tldr-overview — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakshi Patil· Nov 7, 2024
tldr-overview reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chaitanya Patil· Oct 26, 2024
I recommend tldr-overview for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Maya White· Oct 2, 2024
Keeps context tight: tldr-overview is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Mateo Ghosh· Oct 2, 2024
tldr-overview has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Oshnikdeep· Sep 9, 2024
tldr-overview fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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