Wp Performance Review
elvismdev/claude-wordpress-skills
WordPress performance code review and optimization analysis.
Suggestion register: submitter or anonymous flag, category, votes, reviewer, decision and response status.
$ npx skills add sickn33/agentic-awesome-skills --skill employee-suggestion-hub -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills employee-suggestion-hub --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/employee-suggestion-hub .claude/skills/employee-suggestion-hub && 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 "employee-suggestion-hub" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/employee-suggestion-hub into .claude/skills/employee-suggestion-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "employee-suggestion-hub", 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/employee-suggestion-hubType 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 employee-suggestion-hub -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills employee-suggestion-hub --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/employee-suggestion-hub .agents/skills/employee-suggestion-hub && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "employee-suggestion-hub" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/employee-suggestion-hub into .agents/skills/employee-suggestion-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "employee-suggestion-hub", 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 employee-suggestion-hub -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills employee-suggestion-hub --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/employee-suggestion-hub .cursor/skills/employee-suggestion-hub && 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 "employee-suggestion-hub" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/employee-suggestion-hub into .cursor/skills/employee-suggestion-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "employee-suggestion-hub", 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/employee-suggestion-hub--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 employee-suggestion-hub -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills employee-suggestion-hub --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/employee-suggestion-hub .gemini/skills/employee-suggestion-hub && 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 "employee-suggestion-hub" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/employee-suggestion-hub into .gemini/skills/employee-suggestion-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "employee-suggestion-hub", 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 employee-suggestion-hubInstalls 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 employee-suggestion-hub -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/employee-suggestion-hub .github/skills/employee-suggestion-hub && 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 "employee-suggestion-hub" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/employee-suggestion-hub into .github/skills/employee-suggestion-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "employee-suggestion-hub", 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 employee-suggestion-hub -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 employee-suggestion-hub --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/employee-suggestion-hub .opencode/skills/employee-suggestion-hub && 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 "employee-suggestion-hub" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/employee-suggestion-hub into .opencode/skills/employee-suggestion-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "employee-suggestion-hub", 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.
employee-suggestion-hubSuggestion register: submitter or anonymous flag, category, votes, reviewer, decision and response status.
Employee Suggestion Hub is an agent skill from sickn33/agentic-awesome-skills. Suggestion register: submitter or anonymous flag, category, votes, reviewer, decision and response status. Use for employee feedback programs.
Its SKILL.md is about 3.4k 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 Business, Finance & HR, covering Performance reviews. 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.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml, csv, sql, json and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
json-schema.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Employee Suggestion Hub loads about 3.4k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 1,355 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.
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.
The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 1,355 words, ~3,422 tokens.
.claude/skills/employee-suggestion-hub/SKILL.md (or your agent's skills folder).What it is: Feedback loop.
Works out the smallest useful Employee Suggestion Hub setup for the business in front of it, then builds it only when asked. The default output is a short recommendation, not a spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on request, from one field list so they cannot drift apart.
Layer: Layer 6: Engage. Fits: Scale stage. Table code: n/a.
Also use it when the user says "feedback loop", or describes the same process happening in a spreadsheet, a document or someone inboxes.
Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces empty templates only - it never holds or processes real employee or customer data.
Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.
Read the request and pick the intent before asking anything.
Ask only if this is the highest-value missing fact; otherwise proceed without an opener:
Q: How many suggestions do you get in a month?
Skip anything the user already answered, in any earlier message. Ask the rest one at a time, and stop as soon as the remaining answers would not change the output.
Never invent an answer. If the user does not know, record it as unknown and carry on.
Hold the answers in this shape. It stays internal - it is not shown to the user unless they ask, and it never carries a value the user did not give.
module: employee-suggestion-hub
intent: null # setup | advice | review | fix | build | convert | export
scale: null # Starter | Growth | Scale, only if the answer changes it
areas:
"Submissions": null
"Process": null
"Follow-up": null
"Current process": null
"Outcome": null
requested_outputs: [] # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: [] # only what the user actually said
open_questions: [] # the unanswered ones, in the order worth askingIf an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.
Recommended approach: Collect, triage, decide and respond. The response step is the one that determines whether people submit again.
Why this one: Suggestion schemes die from silence, not from a lack of ideas. Recording the response is what keeps submissions coming.
Workflow: Submitted → Triaged → Decided → Responded → Implemented or closed
Once the user asks for it, derive the fields from the confirmed context and emit the requested artifacts. For machine-readable text, keep prose outside the data; for files, provide a usable link. Report material validation failures or limitations separately.
A selected Notion output is rendered by notion-manual-import, so route the
Notion step there. When the user selects Notion, hand that step to
@notion-manual-import: it holds the CSV, the property
mapping, the import steps and the verification checklist, and it renders the Field
Reference below instead of defining a table of its own. Do not restate the mapping
here and do not improvise the import steps. Manual CSV and mapping outputs need no
connection. For requested workspace changes, follow the shared contract: verify actual
tool access and the target before writing. A user saying "connected" is not tool evidence.
Never ask for a Notion password or token.
For an Excel-compatible CSV, use UTF-8 with a byte order mark so Excel opens the
text correctly. A CSV is not an .xlsx workbook; create .xlsx only when the user
requests a workbook.
A CSV carries no types, so after it, name the columns
that need a number, date or currency format applied.
Suggestion Title,Submitted By,Anonymous,Department,Category,Description,Date Submitted,Votes,Reviewer,Decision,Response,Status,Suggestion ID
Add a second parking bay,Ananya Rao,FALSE,Delivery,Process,"Anonymous idea from staff, routed to the owner who can actually act on it.",2026-01-15,14,Sneha Iyer,Approved,"Short, specific and actionable feedback only.",Under Review,CREATE TABLE employee_suggestion_hub (
suggestion_title VARCHAR(255),
submitted_by VARCHAR(255),
anonymous BOOLEAN NOT NULL,
department VARCHAR(255),
category VARCHAR(100) NOT NULL,
description TEXT,
date_submitted DATE NOT NULL,
votes NUMERIC NOT NULL,
reviewer VARCHAR(255),
decision VARCHAR(255),
response VARCHAR(255),
status VARCHAR(100) NOT NULL,
suggestion_id SERIAL PRIMARY KEY,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
);
CREATE INDEX idx_employee_suggestion_hub_status ON employee_suggestion_hub (status);{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "Employee Suggestion Hub",
"type": "object",
"additionalProperties": false,
"properties": {
"Suggestion Title": { "type": "string" },
"Submitted By": { "type": "string" },
"Anonymous": { "type": "boolean" },
"Department": { "type": "string" },
"Category": { "type": "string" },
"Description": { "type": "string" },
"Date Submitted": { "type": "string", "format": "date" },
"Votes": { "type": "number" },
"Reviewer": { "type": "string" },
"Decision": { "type": "string" },
"Response": { "type": "string" },
"Status": { "type": "string" },
"Suggestion ID": { "type": "integer" }
},
"required": [
"Category",
"Date Submitted",
"Votes",
"Status"
]
}| CSV column | Notion property | Set after import |
|---|---|---|
| Suggestion Title | Title | Use as the database title |
| Submitted By | Text | Leave as Text |
| Anonymous | Checkbox | Convert to Checkbox |
| Department | Text | Leave as Text |
| Category | Select (add options after import) | Convert to Select, add options: "Process", "Tooling", "Workload", "Culture", "Facilities" |
| Description | Text | Leave as Text |
| Date Submitted | Date | Convert to Date |
| Votes | Number | Convert to Number |
| Reviewer | Text | Leave as Text |
| Decision | Text | Leave as Text |
| Response | Text | Leave as Text |
| Status | Select (add options after import) | Convert to Select, add options: "Submitted", "Under Review", "Accepted", "In Progress", "Closed", "Declined" |
| Suggestion ID | Text (preserve source ID) | Keep imported IDs as Text; optionally add a separate Unique ID property |The rows above are documentation examples only. Emit empty templates unless the user explicitly requests examples. Money stays currency, dates stay date,
and anything pointing at another table stays relation.
| # | Field | Type | SQL | JSON Schema | Notion | CSV example |
|---|---|---|---|---|---|---|
| 1 | Suggestion Title | text | VARCHAR(255) | string | Text | Add a second parking bay |
| 2 | Submitted By | text | VARCHAR(255) | string | Text | Ananya Rao |
| 3 | Anonymous | checkbox | BOOLEAN | boolean | Checkbox | FALSE |
| 4 | Department | text | VARCHAR(255) | string | Text | Delivery |
| 5 | Category | select | VARCHAR(100) | string | Select (add options after import) | Process |
| 6 | Description | long_text | TEXT | string | Text | Anonymous idea from staff, routed to the owner who can actually act on it. |
| 7 | Date Submitted | date | DATE | string, format: date | Date | 2026-01-15 |
| 8 | Votes | number | NUMERIC | number | Number | 14 |
| 9 | Reviewer | text | VARCHAR(255) | string | Text | Sneha Iyer |
| 10 | Decision | text | VARCHAR(255) | string | Text | Approved |
| 11 | Response | text | VARCHAR(255) | string | Text | Short, specific and actionable feedback only. |
| 12 | Status | select | VARCHAR(100) | string | Select (add options after import) | Under Review |
| 13 | Suggestion ID | id | SERIAL PRIMARY KEY | integer | Text (preserve source ID) | (blank) |
Category
Process | Tooling | Workload | Culture | FacilitiesStatus
Submitted | Under Review | Accepted | In Progress | Closed | DeclinedLink fields: none
Prompt
People suggest improvements and never hear anything back.Context first - one question per message, nothing already answered:
Q: Ideas per month? A: Maybe five.
Q: Anonymous? A: Yes.
Q: Who responds? A: Nobody formally.
Recommended next step - offered, not built:
Collect, triage, decide and respond. The response step is the one that determines whether people submit again.
Workflow: Submitted → Triaged → Decided → Responded → Implemented or closed
Want the CSV, SQL, JSON Schema and Notion mapping for this?
relation for anything that points at another table, text only for free text.currency, never text. Dates are date, never free text.I want to set up feedback loop for my company.
Ask me one short question at a time, and only about what I have not already told you.
Then recommend the smallest setup that fits, and wait for me to ask before you build it.
When I ask, output CSV, SQL DDL, JSON Schema, a Notion property mapping or an Excel workbook. Data only.© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/employee-suggestion-hub of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit b84d35a
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.
Employee Suggestion Hub 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 |
|---|---|---|---|---|---|---|
| Employee Suggestion Hub this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Wp Performance Reviewelvismdev/claude-wordpress-skills | 235 | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Align Humanagentscope-ai/OpenJudge | 871 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Run Mv Hoi Reconstructionnvidia-isaac/video_to_data | 861 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Company Analysiszhu1090093659/dsh-trading | 238 | — | ~4.2k | Automated safety check: Pass | Custom licence | |
| Windbg Diagnostic Methodmicrosoft/win-dev-skills | 466 | — | ~1.9k | Automated safety check: Pass | MIT |
elvismdev/claude-wordpress-skills
WordPress performance code review and optimization analysis.
agentscope-ai/OpenJudge
A skill your agent uses when the user has a judge/grader and human-labeled data, and wants to measure how well the judge agrees with humans, detect systematic biases, determine whether automatic…
nvidia-isaac/video_to_data
Run and validate the repository-local multi-view camera calibration and human-object reconstruction pipelines.
zhu1090093659/dsh-trading
A skill your agent uses when the user wants to analyze a listed company, stock, business, or investment target; challenge or revise an existing company report; compare A/H or primary-listing/ADR…
microsoft/win-dev-skills
Use with every WinDbg plugin investigation to apply evidence-first reasoning, confidence calibration, contrarian review, structured reporting, and deterministic validation.
mizchi/skills
Method and tooling for measuring how AI-generated a piece of prose reads, in Japanese or English.
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.
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.
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.
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.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
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.
Categories
Suggestion register: submitter or anonymous flag, category, votes, reviewer, decision and response status. Employee Suggestion Hub is an agent skill from sickn33/agentic-awesome-skills. Suggestion register: submitter or anonymous flag, category, votes, reviewer, decision and response status.
Employee Suggestion Hub fits situations like: employee feedback programs; tasks that involve Performance reviews.
Run `npx skills add sickn33/agentic-awesome-skills --skill employee-suggestion-hub -a claude-code`. Or copy the skill folder (skills/employee-suggestion-hub in sickn33/agentic-awesome-skills) into .claude/skills/employee-suggestion-hub in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill employee-suggestion-hub -a codex`. Or copy the skill folder (skills/employee-suggestion-hub in sickn33/agentic-awesome-skills) into .agents/skills/employee-suggestion-hub in your project. Codex loads it when a task matches its description.
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 employee-suggestion-hub -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/employee-suggestion-hub, .gemini/skills/employee-suggestion-hub, .github/skills/employee-suggestion-hub and .opencode/skills/employee-suggestion-hub in your project.
SKILL.md names no scripts, command-line tools or credentials: Employee Suggestion Hub is instructions for the agent only.
SKILL.md names 1 domain. In commands or code: json-schema.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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.
Employee Suggestion Hub is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Employee Suggestion Hub: Wp Performance Review (elvismdev/claude-wordpress-skills, 235 stars), Align Human (agentscope-ai/OpenJudge, 871 stars), Run Mv Hoi Reconstruction (nvidia-isaac/video_to_data, 861 stars) and Company Analysis (zhu1090093659/dsh-trading, 238 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 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.