Context Compression
guanyang/open-agent-hub
This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve…
Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minified JSON payloads.
Install Zipai Optimizer
$ npx skills add sickn33/agentic-awesome-skills --skill zipai-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills zipai-optimizer --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/zipai-optimizer .claude/skills/zipai-optimizer && 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 "zipai-optimizer" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/zipai-optimizer into .claude/skills/zipai-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zipai-optimizer", 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/zipai-optimizerType 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 zipai-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills zipai-optimizer --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/zipai-optimizer .agents/skills/zipai-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "zipai-optimizer" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/zipai-optimizer into .agents/skills/zipai-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zipai-optimizer", 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 zipai-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills zipai-optimizer --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/zipai-optimizer .cursor/skills/zipai-optimizer && 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 "zipai-optimizer" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/zipai-optimizer into .cursor/skills/zipai-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zipai-optimizer", 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/zipai-optimizer--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 zipai-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills zipai-optimizer --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/zipai-optimizer .gemini/skills/zipai-optimizer && 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 "zipai-optimizer" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/zipai-optimizer into .gemini/skills/zipai-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zipai-optimizer", 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 zipai-optimizerInstalls 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 zipai-optimizer -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/zipai-optimizer .github/skills/zipai-optimizer && 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 "zipai-optimizer" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/zipai-optimizer into .github/skills/zipai-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zipai-optimizer", 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 zipai-optimizer -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 zipai-optimizer --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/zipai-optimizer .opencode/skills/zipai-optimizer && 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 "zipai-optimizer" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/zipai-optimizer into .opencode/skills/zipai-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zipai-optimizer", 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
zipai-optimizer- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~1.3k tokens
- SKILL.md length
- 630 words
- Files
- 1
- Skills in repo
- 1,354
- Repo updated
- First seen
- Licence
- MIT
At a glance
Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minified JSON payloads.
- Tasks that involve LLM cost and token optimization
- SKILL.md covers When to Use, Rules, Negative Constraints and Example, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Zipai Optimizer is an agent skill from sickn33/agentic-awesome-skills. Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minified JSON payloads.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering LLM cost and token optimization. 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.
When your agent uses it
- Tasks that involve LLM cost and token optimization
Example prompts
- “/zipai-optimizer”
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
No URLs in SKILL.md.
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
Zipai Optimizer loads about 1.3k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 630 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). 630 words, ~1,293 tokens.
Download SKILL.mdSave it as
.claude/skills/zipai-optimizer/SKILL.md (or your agent's skills folder).- name
- zipai-optimizer
- description
- Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minified JSON payloads.
- id
- zipai-optimizer
- version
- 14.0
- category
- agent-behavior
- risk
- safe
- source
- community
- date_added
- 2026-09-04
ZipAI: Context & Token Optimizer
When to Use
Use this skill when the request needs context-window-aware triage, prompt caching optimizations, concise technical output, ambiguity handling, or selective reading of logs, source files, JSON/YAML payloads, VCS output, or MCP tool results.
Rules
Rule 1 — Adaptive Verbosity (No Filler)
- Fixes: technical only. ZERO filler (e.g., "Certainly", "I understand", "Here is", "Sure").
- Analysis: full reasoning allowed.
- Direct Ask: max 15 words in ultra-dense telegraphic style. Omit grammatical helper constructs.
- Long Sessions: never re-summarize past thread context.
- Reviews: use structured headers:
[ISSUE],[SUGGESTION],[NITPICK].
Rule 2 — Ambiguity-First Execution
- Ask exactly ONE question if 2+ interpretations exist. Never stack questions.
- Default to minimal intervention for minor changes.
- Scope ambiguous requests to narrowest boundary.
Rule 3 — Prompt Caching & Prefix Stability
- Static-First Ordering: Structure prompts to place invariant components (system instructions, core rules, static tool schemas) at the top of the prompt.
- Isolate Dynamic Context: Append dynamic and volatile elements (active conversation history, recently read file contents, CLI execution outputs) at the very end of the prompt to protect and reuse the cached prefix.
- Prefix Integrity: Avoid interleaving new queries or dynamic variables inside static system blocks. Keep the static instructions strictly invariant.
- Cached Files Reuse: Reuse already loaded file contents present in the conversation history; do not re-read files unless explicitly updated.
Rule 4 — Semantic Input Pruning & Log Compression
- Traceback Extraction: When handling error or build outputs, parse and filter logs using grep/regex to extract only tracebacks, error statements, and a maximum of 3-5 lines of context around them. Strip all info logs, successful build tasks, and redundant progress messages.
- Skeletal Code Viewing (AST): For large files (>300 lines), do not view the full file. Use
grep -nE "^(class|def|async def|function|const|let|var).*="(or language equivalents) to view class and function headers first, then target specific ranges withview_file. - Smart JSON/YAML Crusher: Minify structured inputs. Strip pretty-printing whitespaces, comments, and unused fields from JSON/YAML payloads before placing them in context. Convert large arrays to dense CSV or key-value listings if they are queried.
Rule 5 — Surgical & Compact Output
- Local Replacements: Perform edits using surgical tools (
str_replaceor single-hunk diffs). Never reprint unchanged surrounding code or perform full-file reprints. - Batch Modifies: Consolidate multiple non-contiguous edits in a single file into a single multi-replace chunk operation, ordered from leaf dependencies upward.
- Differential Output: Limit conversational responses to the exact modified blocks, avoiding conversational code repetition.
Show full SKILL.md (237 more words)Show less
Rule 6 — Telegraphic Grammar & Density
- Syntax Compression: Strip articles ("a", "an", "the"), redundant helper verbs ("to be", "to have", "do"), and politeness/softening modifiers ("please", "simply", "just", "easy").
- Structure: Format output blocks into dense semantic mappings (
key: val), short bullet lists, and compact tables. Avoid paragraphs of text.
Rule 7 — Token-Budget Reasoning (CoT Optimization)
- Direct Mode: Skip long planning/thinking cycles for trivial, deterministic edits (typos, formatting, import adjustments).
- Abbreviated Thoughts: Keep thought blocks compact. Never reprint code snippets or copy-paste file blocks inside thoughts. Reference files via path and lines (e.g.
file.py#L12-18).
Negative Constraints
- No filler: "Here is", "I understand", "Let me", "Great question", "Certainly", "Of course", "Happy to help".
- No blind truncation of stacktraces or error logs.
- No full-file reads on large files.
- No re-reading files already in context.
- No multi-question clarification dumps.
- No silent bundling of unrelated changes.
- No full git diff ingestion on large changesets — extract hunks only.
- No git log beyond 20 entries unless a specific range is requested.
- No full MCP object inspection when field-level access suffices.
- No MCP mutations without prior read of current resource state.
- No SHA reuse across sessions for file updates.
Example
User request:
Use @zipai-optimizer for this task: Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minified JSON payloads.
Limitations
- Brainstorming: disable during creative/open-ended design phases.
- Grep Blindness: key context may fall outside filter boundaries.
- Overshadowing: aggressive pruning may drop micro-variables in long sessions.
© 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
Just SKILL.md in skills/zipai-optimizer of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit ec02547
Used in 1 other repository
We found 5 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
Zipai Optimizer 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 |
|---|---|---|---|---|---|---|
| Zipai Optimizer this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Context Compressionguanyang/open-agent-hub | 975 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Bounty Hunter1sadjlk/bounty-hunter-skill | 282 | 1 repos | ~761 | Automated safety check: Pass | MIT | |
| Skill Shortenerluongnv89/asm | 953 | — | ~3.8k | Automated safety check: Notes | MIT | |
| Fleet Auditoralexgreensh/token-optimizer | 2.5k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Headroommomori777/Artemis | 377 | — | ~562 | Automated safety check: Pass | MIT |
Similar skills
Bounty Hunter
1sadjlk/bounty-hunter-skill
A professional AI bounty hunter persona named Atlas. An agent skill from 1sadjlk/bounty-hunter-skill.
Skill Shortener
luongnv89/asm
Refactor a too-long SKILL.md by progressive disclosure: measure token cost, classify every section KEEP/CUT/MOVE, shorten the body into references/ and scripts/, verify nothing was lost.
Fleet Auditor
alexgreensh/token-optimizer
Cross-system agent token/cost audit (Claude Code, Codex, OpenClaw, Hermes, OpenCode): idle burns, model misrouting, config bloat, with dollar savings.
Headroom
momori777/Artemis
SmartCrusher + CCR context compression — crunch large JSON arrays, tool outputs, and search results to save tokens.
Context Audit
undefined-ui/second-brain-os
Audit an agent's context layout against the four places: system prompt, tools, history, tail.
More from sickn33/agentic-awesome-skills
All 1,354 skills in this repoLiuguang Banlan UI
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
User Thoughts Memory
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
Using LWC Memory and Graphs
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
Find Complementary Founders
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
Cline Pilot
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Content Creator
sickn33/agentic-awesome-skills
Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.
Related
Categories
Questions about Zipai Optimizer
What does Zipai Optimizer do?
Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minified JSON payloads. Zipai Optimizer is an agent skill from sickn33/agentic-awesome-skills. Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minified JSON payloads.
When should I use Zipai Optimizer?
Zipai Optimizer fits situations like: tasks that involve LLM cost and token optimization.
How do I install Zipai Optimizer in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill zipai-optimizer -a claude-code`. Or copy the skill folder (skills/zipai-optimizer in sickn33/agentic-awesome-skills) into .claude/skills/zipai-optimizer in your project. Claude Code loads it when a task matches its description.
How do I install Zipai Optimizer in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill zipai-optimizer -a codex`. Or copy the skill folder (skills/zipai-optimizer in sickn33/agentic-awesome-skills) into .agents/skills/zipai-optimizer in your project. Codex loads it when a task matches its description.
Can I use Zipai Optimizer 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 zipai-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/zipai-optimizer, .gemini/skills/zipai-optimizer, .github/skills/zipai-optimizer and .opencode/skills/zipai-optimizer in your project.
What does Zipai Optimizer need to run?
SKILL.md names no scripts, command-line tools or credentials: Zipai Optimizer is instructions for the agent only.
Does Zipai Optimizer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Zipai Optimizer 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 Zipai Optimizer use?
Zipai Optimizer 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 Zipai Optimizer use?
About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Zipai Optimizer?
Skills that share tags, products or a category with Zipai Optimizer: Context Compression (guanyang/open-agent-hub, 975 stars), Bounty Hunter (1sadjlk/bounty-hunter-skill, 282 stars), Skill Shortener (luongnv89/asm, 953 stars) and Fleet Auditor (alexgreensh/token-optimizer, 2.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Zipai Optimizer?
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.