Agent skill

Project Based Performance

by sickn33 in sickn33/agentic-awesome-skills

Project performance review: role, project and manager, delivery, quality and collaboration scores, overall score and feedback.

MITAuto-check passedBusiness, Finance & HR

Install Project Based Performance

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill project-based-performance -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills project-based-performance --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/project-based-performance .claude/skills/project-based-performance && rm -rf skills-src

Use ~/.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/

Facts

Skill name
project-based-performance
GitHub stars
47k
Used in
1 other repo
Token cost
~3.6k tokens
SKILL.md length
1,386 words
Files
1
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

Project performance review: role, project and manager, delivery, quality and collaboration scores, overall score and feedback.

  • Works in 5 steps: Identify intent → Ask only what is missing → Hold the internal context → …
  • Project appraisals
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Field Reference, plus 9 more sections
  • Reaches json-schema.org

What it does

Project Based Performance is an agent skill from sickn33/agentic-awesome-skills. Project performance review: role, project and manager, delivery, quality and collaboration scores, overall score and feedback. Use for project appraisals.

Its SKILL.md is about 3.6k 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.

When your agent uses it

  • Project appraisals
  • Tasks that involve Performance reviews

Example prompts

  • “/project-based-performance”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Identify intent
  2. Ask only what is missing
  3. Hold the internal context
  4. Recommend the smallest workflow
  5. Build only on request

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. 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 (its code samples are yaml, csv, sql, json and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • json-schema.org

    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

Project Based Performance loads about 3.6k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 1,386 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

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 1e53ce2, republished under its MIT licence (© sickn33). 1,386 words, ~3,554 tokens.

Download SKILL.mdSave it as .claude/skills/project-based-performance/SKILL.md (or your agent's skills folder).
name
project-based-performance
description
Project performance review: role, project and manager, delivery, quality and collaboration scores, overall score and feedback. Use for project appraisals.
category
business
risk
safe
source
self
source_type
self
date_added
2026-09-26
author
WHOISABHISHEKADHIKARI
tags
sme, business, operations, database, csv, notion, sql, operate
source_repo
WHOISABHISHEKADHIKARI/sme-ops-system-builder

Project-Based Performance

What it is: Per-project reviews.

Overview

Works out the smallest useful Project-Based Performance 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 8: Operate. Fits: Scale stage. Table code: n/a.

When to Use This Skill

  • project performance review
  • project feedback
  • delivery scorecard
  • project review tracker

Also use it when the user says "per-project reviews", 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.

How It Works

Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.

Step 1 - Identify intent

Read the request and pick the intent before asking anything.

  • "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
  • "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
  • "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
  • "how do I ..." -> advice question; answer directly and offer the build only if it helps.

Ask only if this is the highest-value missing fact; otherwise proceed without an opener:

Q: How many live projects do you have?

Step 2 - Ask only what is missing

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.

  • Projects - How many live? / How long each? / Who owns delivery?
  • Measures - Delivered on time? / Budget or effort? / Client satisfaction?
  • Cadence - How often reviewed? / Who reviews? / Team or individual?
  • Current process - Is it captured now? / Status report or a sheet? / Is it comparable?
  • Outcome - What do you need? / A project scorecard or a status tracker?

Never invent an answer. If the user does not know, record it as unknown and carry on.

Step 3 - Hold the internal context

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.

yaml
module: project-based-performance
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Projects": null
  "Measures": null
  "Cadence": 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 asking
Step 4 - Recommend the smallest workflow

If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.

Recommended approach: Score a project at completion against three or four fixed measures, and keep a close reason code so the data improves over time.

Why this one: Project performance needs a consistent denominator to be comparable. Fix the measures and the close reason, and the comparison works.

Workflow: Project delivered → Measures scored → Close reason recorded → Review across projects

Step 5 - Build only on request

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.

csv
Project Review Title,Employee Name,Project,Project Manager,Role on Project,Review Date,Delivery Score,Quality Score,Collaboration Score,Overall Score,Feedback,Linked Performance Review,Status,Project Review ID
Northwind handover review,Aarav Sharma,Website Redesign,Sneha Iyer,Delivery Lead,2026-01-15,5,4,5,4.2,Clearer deadlines would help. Handovers went well this quarter.,REV-2026-Q1,In Progress,
sql
CREATE TABLE project_based_performance (
  project_review_title VARCHAR(255),
  employee_name VARCHAR(255),
  project VARCHAR(255),
  project_manager VARCHAR(255),
  role_on_project VARCHAR(255),
  review_date DATE NOT NULL,
  delivery_score NUMERIC NOT NULL,
  quality_score NUMERIC NOT NULL,
  collaboration_score NUMERIC NOT NULL,
  overall_score NUMERIC NOT NULL,
  feedback TEXT,
  linked_performance_review VARCHAR(255),  -- relation -> target record
  status VARCHAR(100) NOT NULL,
  project_review_id SERIAL PRIMARY KEY,
  created_at TIMESTAMP DEFAULT NOW(),
  updated_at TIMESTAMP DEFAULT NOW()
);

CREATE INDEX idx_project_based_performance_status ON project_based_performance (status);
json
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "title": "Project-Based Performance",
  "type": "object",
  "additionalProperties": false,
  "properties": {
      "Project Review Title": { "type": "string" },
      "Employee Name": { "type": "string" },
      "Project": { "type": "string" },
      "Project Manager": { "type": "string" },
      "Role on Project": { "type": "string" },
      "Review Date": { "type": "string", "format": "date" },
      "Delivery Score": { "type": "number" },
      "Quality Score": { "type": "number" },
      "Collaboration Score": { "type": "number" },
      "Overall Score": { "type": "number" },
      "Feedback": { "type": "string" },
      "Linked Performance Review": { "type": "string" },
      "Status": { "type": "string" },
      "Project Review ID": { "type": "integer" }
  },
  "required": [
      "Review Date",
      "Delivery Score",
      "Quality Score",
      "Collaboration Score",
      "Overall Score",
      "Status"
  ]
}
markdown
| CSV column | Notion property | Set after import |
|---|---|---|
| Project Review Title | Title | Use as the database title |
| Employee Name | Text | Leave as Text |
| Project | Text | Leave as Text |
| Project Manager | Text | Leave as Text |
| Role on Project | Text | Leave as Text |
| Review Date | Date | Convert to Date |
| Delivery Score | Number | Convert to Number |
| Quality Score | Number | Convert to Number |
| Collaboration Score | Number | Convert to Number |
| Overall Score | Number | Convert to Number |
| Feedback | Text | Leave as Text |
| Linked Performance Review | Relation (link to the target database) | Convert to Relation, link to the target database |
| Status | Select (add options after import) | Convert to Select, add options: "Not Started", "In Progress", "Submitted", "Assessed", "Closed" |
| Project Review 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 Reference

#FieldTypeSQLJSON SchemaNotionCSV example
1Project Review TitletextVARCHAR(255)stringTextNorthwind handover review
2Employee NametextVARCHAR(255)stringTextAarav Sharma
3ProjecttextVARCHAR(255)stringTextWebsite Redesign
4Project ManagertextVARCHAR(255)stringTextSneha Iyer
5Role on ProjecttextVARCHAR(255)stringTextDelivery Lead
6Review DatedateDATEstring, format: dateDate2026-01-15
7Delivery ScorenumberNUMERICnumberNumber5
8Quality ScorenumberNUMERICnumberNumber4
9Collaboration ScorenumberNUMERICnumberNumber5
10Overall ScorenumberNUMERICnumberNumber4.2
11Feedbacklong_textTEXTstringTextClearer deadlines would help. Handovers went well this quarter.
12Linked Performance ReviewrelationVARCHAR(255)stringRelation (link to the target database)REV-2026-Q1
13StatusselectVARCHAR(100)stringSelect (add options after import)In Progress
14Project Review IDidSERIAL PRIMARY KEYintegerText (preserve source ID)(blank)
Show full SKILL.md (502 more words)Show less

Select Options

Status

Not Started | In Progress | Submitted | Assessed | Closed

Relations

Link fields: Linked Performance Review

Examples

Prompt

We know some projects overrun but cannot show the pattern.

Context first - one question per message, nothing already answered:

Q: How many live? A: Six at a time.

Q: Measures? A: On time and budget.

Q: How often reviewed? A: At the end, if at all.

Recommended next step - offered, not built:

Score a project at completion against three or four fixed measures, and keep a close reason code so the data improves over time.

Workflow: Project delivered → Measures scored → Close reason recorded → Review across projects

Want the CSV, SQL, JSON Schema and Notion mapping for this?

Best Practices

  • Build when requested; recommend and offer a build for advice-only requests.
  • One question per message. A batched intake reads as a form and gets guessed at.
  • Keep display names identical across CSV and JSON; document normalized SQL identifiers.
  • Use relation for anything that points at another table, text only for free text.
  • Money fields are currency, never text. Dates are date, never free text.
  • If the user requests an example row, keep it obviously fake so nobody imports it as real data.

Limitations

  • Empty template only. It does not compute payroll, tax, leave balances or KPIs.
  • Notion relations need both databases imported before the link column resolves.
  • Select options are a starting set. Rename them to match how the business talks.
  • No automation, reminders or sync. Those need the integration layer.
  • Does not assess individuals or report on company-wide performance.
  • Legal, tax and HR review is still required before this drives real decisions.

Security & Safety Notes

  • Never fill in real names, salaries, medical or banking data. Placeholders only.
  • Label example rows as synthetic, and keep bank details masked.
  • Local reads, generation commands, and validation are part of a requested artifact build. External writes, messages, provisioning, and publication require authorization for that action and target; existing explicit authorization does not need to be repeated.
  • If sensitive data is supplied, avoid repeating unnecessary identifiers. Use only what the requested review needs; keep generated templates empty. Do not claim deletion from the conversation or service storage.
  • Privacy, legal and disciplinary cases need a qualified human reviewer before anything is acted on.

Common Pitfalls

  • Problem: a static mapping is described as a completed workspace build. Solution: deliver manual mappings without a connection; claim a live change only after the authorized tool operation succeeds.
  • Problem: asked all six questions in one message. Solution: ask one, wait, and drop any the first answer already covered.
  • Problem: built a full system when one table was asked for. Solution: build what was requested; mention the parent skill separately.
  • Problem: all four artifacts drift apart. Solution: derive all four from the field list in this file, never by hand.
  • Problem: Notion import shows every column as Text. Solution: that is expected. Apply the property mapping table once, after import.
  • Module Catalog - find the relevant module, then read its skill.
  • @people-directory - the employee master record most modules link to.
  • @notification-reminder-hub - turns due dates in this module into reminders.

Reusable Prompt

I want to set up per-project reviews 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

Files

Just SKILL.md in skills/project-based-performance of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 1e53ce2

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

Project Based Performance 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.

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Performance ReportAffitor/affiliate-skills6981 repos~2.5kAutomated safety check: PassMIT
Run Mv Hoi Reconstructionnvidia-isaac/video_to_data847—~1.5kAutomated safety check: PassCustom licence
Company Analysiszhu1090093659/dsh-trading230—~4.2kAutomated safety check: PassCustom licence

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Questions about Project Based Performance

What does Project Based Performance do?

Project performance review: role, project and manager, delivery, quality and collaboration scores, overall score and feedback. Project Based Performance is an agent skill from sickn33/agentic-awesome-skills. Project performance review: role, project and manager, delivery, quality and collaboration scores, overall score and feedback.

When should I use Project Based Performance?

Project Based Performance fits situations like: project appraisals; tasks that involve Performance reviews.

How do I install Project Based Performance in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill project-based-performance -a claude-code`. Or copy the skill folder (skills/project-based-performance in sickn33/agentic-awesome-skills) into .claude/skills/project-based-performance in your project. Claude Code loads it when a task matches its description.

How do I install Project Based Performance in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill project-based-performance -a codex`. Or copy the skill folder (skills/project-based-performance in sickn33/agentic-awesome-skills) into .agents/skills/project-based-performance in your project. Codex loads it when a task matches its description.

Can I use Project Based Performance 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 project-based-performance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/project-based-performance, .gemini/skills/project-based-performance, .github/skills/project-based-performance and .opencode/skills/project-based-performance in your project.

What does Project Based Performance need to run?

SKILL.md names no scripts, command-line tools or credentials: Project Based Performance is instructions for the agent only.

Does Project Based Performance access the network?

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.

Is Project Based Performance 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 Project Based Performance use?

Project Based Performance 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 Project Based Performance use?

About 3.6k 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.

What are the alternatives to Project Based Performance?

Skills that share tags, products or a category with Project Based Performance: Wp Performance Review (elvismdev/claude-wordpress-skills, 234 stars), Align Human (agentscope-ai/OpenJudge, 867 stars), Performance Report (Affitor/affiliate-skills, 698 stars) and Run Mv Hoi Reconstruction (nvidia-isaac/video_to_data, 847 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Project Based Performance?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 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.