Iterative Retrieval
affaan-m/ECC
Pattern for progressively refining context retrieval to solve the subagent context problem.
Architecture and integration sketches for LLM applications, with explicit retrieval, tool, privacy and verification boundaries.
MITAuto-check passed
Install LLM App Patterns
$ npx skills add sickn33/agentic-awesome-skills --skill llm-app-patterns -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills llm-app-patterns --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/llm-app-patterns .claude/skills/llm-app-patterns && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "llm-app-patterns" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/llm-app-patterns into .claude/skills/llm-app-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-app-patterns", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/llm-app-patternsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill llm-app-patterns -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills llm-app-patterns --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/llm-app-patterns .agents/skills/llm-app-patterns && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llm-app-patterns" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/llm-app-patterns into .agents/skills/llm-app-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-app-patterns", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill llm-app-patterns -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills llm-app-patterns --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/llm-app-patterns .cursor/skills/llm-app-patterns && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "llm-app-patterns" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/llm-app-patterns into .cursor/skills/llm-app-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-app-patterns", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/llm-app-patterns--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill llm-app-patterns -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills llm-app-patterns --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/llm-app-patterns .gemini/skills/llm-app-patterns && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "llm-app-patterns" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/llm-app-patterns into .gemini/skills/llm-app-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-app-patterns", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills llm-app-patternsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill llm-app-patterns -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/llm-app-patterns .github/skills/llm-app-patterns && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "llm-app-patterns" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/llm-app-patterns into .github/skills/llm-app-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-app-patterns", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill llm-app-patterns -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills llm-app-patterns --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/llm-app-patterns .opencode/skills/llm-app-patterns && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "llm-app-patterns" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/llm-app-patterns into .opencode/skills/llm-app-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-app-patterns", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
llm-app-patterns- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~723 tokens
- SKILL.md length
- 348 words
- Files
- 2 (incl. references)
- Skills in repo
- 1,354
- Repo updated
- First seen
- Licence
- MIT
At a glance
Architecture and integration sketches for LLM applications, with explicit retrieval, tool, privacy and verification boundaries.
- SKILL.md covers Detailed Guide, When to Use This Skill, Inputs, worked example and… and Limitations
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
LLM App Patterns is an agent skill from sickn33/agentic-awesome-skills. Architecture and integration sketches for LLM applications, with explicit retrieval, tool, privacy and verification boundaries.
Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/detailed-guide.md`).
The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
Example prompts
- “/llm-app-patterns”
What it can do on your machine
Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
tenacity.readthedocs.io
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
LLM App Patterns loads about 723 tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 348 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 348 words, ~723 tokens.
Download SKILL.mdSave it as
.claude/skills/llm-app-patterns/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- llm-app-patterns
- description
- Architecture and integration sketches for LLM applications, with explicit retrieval, tool, privacy and verification boundaries.
- risk
- critical
- source
- community
- date_added
- 2026-02-27
🤖 LLM Application Patterns
Architecture and integration sketches for LLM applications, with explicit retrieval, tool, privacy and verification boundaries.
Detailed Guide
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
When to Use This Skill
Use this skill when:
- Designing LLM-powered applications
- Implementing RAG (Retrieval-Augmented Generation)
- Building AI agents with tools
- Setting up LLMOps monitoring
- Choosing between agent architectures
Inputs, worked example and verification
Record provider/SDK versions, authorized data and tools, request/response schemas, latency/cost budgets and the expected task outcome. All code above is an integration sketch: llm, database, parser and provider-response adapters are project-owned and must be implemented explicitly. Never execute model-provided Python, expressions or fuzzy tool names; dispatch only exact registered tools after schema and authorization checks. Enforce per-call deadlines as well as loop limits.
Example: a planner first queues steps A and B, then after A replaces the remaining work with C. The executor must run A then C, never stale B. A parser step must apply the parser to the actual prior output. Two tenants with the same prompt must produce different cache keys, and cache reads/writes require an explicit reuse policy. These are concrete regression assertions; successful mocks still do not prove live provider behavior.
The limiter sketch is single-threaded and process-local. A distributed deployment needs a shared atomic limit and deadlines. Retry only retry-safe operations, honoring provider retry guidance; a timeout after a side effect is not evidence that nothing happened. See Tenacity retry predicates.
Limitations
- A retrieved source list does not prove each answer claim is supported; verify claim-to-source evidence and abstention behavior.
- Prompt text and JSON-shaped output are not authorization boundaries. Enforce permissions in the application.
- Provider failover can change output quality, tool schemas, cost and data residency; only use pre-approved compatible fallbacks.
- Caching must respect tenant access, data/prompt revisions and deletion policy; temperature zero does not make output deterministic.
- Model/SDK examples are not a complete service, benchmark or production-readiness certificate.
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/llm-app-patterns of sickn33/agentic-awesome-skills.
- SKILL.md
- references/detailed-guide.md
Open the folder on GitHubat commit ec02547
Used in 1 other repository
We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
LLM App Patterns next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| LLM App Patterns this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~723 | Automated safety check: Pass | MIT | |
| Iterative Retrievalaffaan-m/ECC | 275k | 7 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Sketchbergside/awesome-design-skills | 3.1k | 1 repos | ~933 | Automated safety check: Pass | MIT | |
| Iterative Retrievalaffaan-m/ECC | 275k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Iterative Retrievalaffaan-m/ECC | 275k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Iterative Retrievalaffaan-m/ECC | 275k | 1 repos | ~1.1k | Automated safety check: Pass | MIT |
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Questions about LLM App Patterns
What does LLM App Patterns do?
Architecture and integration sketches for LLM applications, with explicit retrieval, tool, privacy and verification boundaries. LLM App Patterns is an agent skill from sickn33/agentic-awesome-skills. Architecture and integration sketches for LLM applications, with explicit retrieval, tool, privacy and verification boundaries.
How do I install LLM App Patterns in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill llm-app-patterns -a claude-code`. Or copy the skill folder (skills/llm-app-patterns in sickn33/agentic-awesome-skills) into .claude/skills/llm-app-patterns in your project. Claude Code loads it when a task matches its description.
How do I install LLM App Patterns in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill llm-app-patterns -a codex`. Or copy the skill folder (skills/llm-app-patterns in sickn33/agentic-awesome-skills) into .agents/skills/llm-app-patterns in your project. Codex loads it when a task matches its description.
Can I use LLM App Patterns in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill llm-app-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-app-patterns, .gemini/skills/llm-app-patterns, .github/skills/llm-app-patterns and .opencode/skills/llm-app-patterns in your project.
What does LLM App Patterns need to run?
SKILL.md names no scripts, command-line tools or credentials: LLM App Patterns is instructions for the agent only.
Does LLM App Patterns access the network?
SKILL.md names 1 domain. As links in the text: tenacity.readthedocs.io. This is read from the text; nothing was executed.
Is LLM App Patterns safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does LLM App Patterns use?
LLM App Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does LLM App Patterns use?
About 723 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.8k tokens, read only when the agent opens those files.
What are the alternatives to LLM App Patterns?
Skills that share tags, products or a category with LLM App Patterns: Iterative Retrieval (affaan-m/ECC, 275k stars), Sketch (bergside/awesome-design-skills, 3.1k stars), Iterative Retrieval (affaan-m/ECC, 275k stars) and Iterative Retrieval (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains LLM App Patterns?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.