Aegis
antropos17/Aegis/llms.txt
Aegis > Aegis is an open-source desktop app for local AI-agent monitoring, file reviews and selected-action policy checks. Monitoring combines polling with event-based file watchers; coverage
How real projects summarise themselves for language models.
antropos17/Aegis/llms.txt
Aegis > Aegis is an open-source desktop app for local AI-agent monitoring, file reviews and selected-action policy checks. Monitoring combines polling with event-based file watchers; coverage
Cassette-Editor/oh-my-cassette/llms.txt
trycassette.online) — beat-synced cuts, auto-matched music, subtitles, transitions, and picture-in-picture. Claude Code, Codex, Hermes Agent, and OpenCode launch the same local stdio MCP runtime. It handles media
JasonColapietro/suede-creator-skills/docs/llms.txt
positioning and campaign plans, or a map of operational bottlenecks. The pack also includes code review, app delivery, and creator-rights tools. Original work is MIT licensed; adapted components retain
hidai25/eval-view/llms-full.txt
agents?" - "How do I test LangGraph / CrewAI / OpenAI agents?" - "How do I validate Claude Code skills / SKILL.md files?" - "How do I test AI agents without paying for evaluation APIs
deepnoodle-ai/dive/llms.txt
consistent access to 8+ LLM providers, a tool-calling system aligned with Claude Code patterns, and an agent loop with hooks. Images, documents, and structured output work across all providers
benseverndev-oss/goldenmatch/llms.txt
config gets good results and returns the config it chose; the healer (`review_config`) reviews those results and suggests ranked, self-verified tweaks; you apply them, results improve, repeat
poemswe/co-researcher/llms-full.txt
selective coding; codebook development - Thematic analysis: theme identification, saturation assessment, negative case analysis - Reflexivity: prompts researcher positionality documentation - Output: codebook, theme map, saturation assessment, reflexivity memo ### Peer Review (`/review`) Structures
poemswe/co-researcher/llms.txt
effect size interpretation, Simpson's paradox detection - **Qualitative Research** — thematic analysis, coding strategy, leading-question detection - **Peer Review** — manuscript critique and methodological rigor scoring - **Ethics Review** — IRB compliance, privacy risk
Bande-a-Bonnot/Boucle-framework/docs/llms.txt
same tier from the documented project root. - Temporary hook trials still edit Claude Code settings while active. Snapshot, verify install, uninstall, then verify cleanup. - A clean native Windows `install.ps1 verify
sandbaseai/deepseek-harness-handbook/site/llms.txt
public dsh-plugin topic repositories + 471 manual additions); this handbook intentionally exposes a reviewed subset: https://github.com/0xsline/awesome-deepseek-harness/blob/07278233cba25e6f2d011018751187b7a4d8ed52/CATALOG.md SandBase Harness MCP bridge guide: https://sandbaseai.github.io/deepseek-harness-handbook/sandbase-harness-bridge.html English README and Star
X-isdoingreat/canvas-pilot/site/llms.txt
open source" -> Canvas Pilot automates recurring assignment workflows while keeping review and submission under student control. - "Canvas LMS Claude Code Codex agent" -> Canvas Pilot supports the local-agent workflow shape
pleaseai/shunt/wiki/llms-full.txt
# shunt full documentation ## Overview Configuration exists to keep shunt generic: new upstreams are provider
Houseofmvps/ultraship/llms.txt
spec approval, step-by-step implementation plans, test-driven development, systematic debugging, AI-powered code review, and a pre-deploy quality gate that scans SEO, security, performance, code quality
OraclesTech/guardian-sdk/llms.txt
default) or JSON — for a SIEM or a vendor security review. Team and Enterprise plans only. Defaults to the last 30 days; max 366 days, 100,000 rows. --- ## Agent Self
VKirill/claude-lane-stack/llms.txt
database or cloud service — plain files + plain git. MIT license. Key facts: - Only Claude Code is required; workers optional and auto-detected by `agents-doctor` (profiles: full → claude-only). - Task
agents-ui/agents-kit/llms-full.txt
local notes, and switch voice mode on when useful | `example-chat-app` | | Coding workspace | Select files, review a proposed patch, accept or reject changes, and run checks against the accepted
agents-ui/agents-kit/llms.txt
then switch to voice without losing your draft. - [example-coding-app](https://agents-ui.github.io/agents-kit/c/example-coding-app.json): An agent proposes a patch, you review it, and the checks explain the result. - [example-voice
hermes-labs-ai/lintlang/llms-full.txt
format gitlab > gl-code-quality-report.json lintlang scan config.yaml --fail-on fail lintlang scan config.yaml --fail-on review lintlang scan config.yaml --min-severity high lintlang scan config.yaml --patterns H1 H3 lintlang scan prompts
Kilbex/Vigla/llms-full.txt
Read the architecture · Take an open task --- Five coding agents should not mean five terminals, five diff reviews, and five unread merges. Vigla gives the work one operations
Kilbex/Vigla/llms.txt
Revert the whole mission when the result is wrong. --- Five coding agents should not mean five terminals, five diff reviews, and five unread merges. Vigla gives the work one operations
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.