Agent skill

Discover

by anombyte93 in anombyte93/prd-taskmaster

Phase 1 of the prd-taskmaster pipeline: brainstorm-driven discovery.

MITAuto-check passedAgent Workflows

Install Discover

skills CLI
$ npx skills add anombyte93/prd-taskmaster --skill discover -a claude-code

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

GitHub CLI
$ gh skill install anombyte93/prd-taskmaster discover --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/anombyte93/prd-taskmaster.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/discover .claude/skills/discover && 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
discover
GitHub stars
604
Token cost
~2.4k tokens
SKILL.md length
953 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Phase 1 of the prd-taskmaster pipeline: brainstorm-driven discovery.

  • Works in 2 steps: Call… → Detect execution context. If any of the…
  • Tasks that involve Brainstorming
  • SKILL.md covers Entry gate, Discovery checklist, Interactive Mode (default —… and Autonomous Mode (no user…, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Discover is an agent skill from anombyte93/prd-taskmaster. Phase 1 of the prd-taskmaster pipeline: brainstorm-driven discovery. Delegates to superpowers:brainstorming in Interactive Mode (one adaptive question at a time), or self-brainstorms in Autonomous Mode when no user is present. Intercepts before the brainstorming chain hands off to writing-plans — this skill owns the exit. Extracts constraints, calibrates scale (Solo / Team / Enterprise), and advances the pipeline to GENERATE.

Its SKILL.md is about 2.4k 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 Agent Workflows, covering Brainstorming, PRD writing and Planning. It works with Model Context Protocol. The repository describes itself as: Zero-config goal-to-tasks engine for Claude Code (the Atlas engine). Graded PRD validation, dependency-ordered task graph, evidence-gated execution. The licence is MIT.

When your agent uses it

  • Tasks that involve Brainstorming
  • Tasks that involve PRD writing
  • Tasks that involve Planning

Example prompts

  • “/discover”

Requirements

  • Pre-approved tools (allowed-tools): Read, Skill, AskUserQuestion, Write, ToolSearch, mcp__atlas-engine, mcp__plugin_prd_go, mcp__plugin_prd-taskmaster_go, mcp__plugin_atlas-go_go

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Call mcpplugin_prd_gocheck_gate(phase="DISCOVER", evidence={}) for diagnostics.
  2. Detect execution context. If any of the following signals are present,

What it can do on your machine

Read from SKILL.md and the folder at commit 3a9756a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Skill
    • AskUserQuestion
    • Write
    • ToolSearch
    • mcp__atlas-engine
    • mcp__plugin_prd_go
    • mcp__plugin_prd-taskmaster_go
    • mcp__plugin_atlas-go_go

    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

Discover loads about 2.4k tokens when it runs. Until then it costs about 110 tokens; SKILL.md has 953 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~110
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

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 anombyte93/prd-taskmaster at commit 3a9756a, republished under its MIT licence (© anombyte93). 953 words, ~2,353 tokens.

Download SKILL.mdSave it as .claude/skills/discover/SKILL.md (or your agent's skills folder).
name
discover
description
Phase 1 of the prd-taskmaster pipeline: brainstorm-driven discovery. Delegates to superpowers:brainstorming in Interactive Mode (one adaptive question at a time), or self-brainstorms in Autonomous Mode when no user is present. Intercepts before the brainstorming chain hands off to writing-plans — this skill owns the exit. Extracts constraints, calibrates scale (Solo / Team / Enterprise), and advances the pipeline to GENERATE.
allowed-tools
Read, Skill, AskUserQuestion, Write, ToolSearch, mcp__atlas-engine, mcp__plugin_prd_go, mcp__plugin_prd-taskmaster_go, mcp__plugin_atlas-go_go
user-invocable
false

Phase 1: Discover

Declarative phase skill. Invoked by the prd-taskmaster orchestrator when current_phase is DISCOVER. Never called directly by a user.

The one rule: invoke superpowers:brainstorming for discovery, intercept before it chains to writing-plans — we control the exit, not the brainstorm skill.

Entry gate

  1. Call mcp__plugin_prd_go__check_gate(phase="DISCOVER", evidence={}) for diagnostics.

    check_gate is an EXIT gate: it verifies the evidence to advance, not to enter. On first DISCOVER entry you have no evidence yet (the User Approval / Self-Approval Gate below produces user_approved=true OR auto_classification=CLEAR with assumptions_documented), so a gate_passed: false here is EXPECTED — the state machine's legal transitions already guarantee only legal entry.

    • First entry (no evidence yet): note the result and continue with the Procedure.
    • Re-entry: if the gate reports violations, report them and stop — it protects against re-running a completed phase or skipping ahead from SETUP.
  2. Detect execution context. If any of the following signals are present, switch to Autonomous Mode:

    • .claude/ralph-loop.local.md exists in the project root
    • An auto-enter / auto-approve daemon is running against this session
    • The skill was invoked with an explicit --autonomous flag
    • Parent orchestrator is a cron, /pentest-wtf, or /ralph-loop Otherwise proceed in Interactive Mode (default).

Discovery checklist

Copy into your response before running the procedure:

DISCOVERY CHECKLIST:
- [ ] Mode detected (Interactive vs Autonomous)
- [ ] Goal captured from skill args or soul purpose
- [ ] Adaptive questions completed (one at a time)
- [ ] Constraints extracted and listed
- [ ] Scale classified (Solo / Team / Enterprise)
- [ ] Discovery summary captured for GENERATE phase
- [ ] User approved (Interactive) or summary committed (Autonomous)

Interactive Mode (default — user present)

  1. Take the user's goal / description from the skill invocation args.
  2. Invoke superpowers:brainstorming with the goal as input.
  3. Brainstorming runs its adaptive question flow — one domain-agnostic question at a time. Let it drive the Q&A rhythm.
  4. INTERCEPT POINT: when brainstorming signals readiness to chain to writing-plans, STOP. Do NOT let it invoke writing-plans. Capture the brainstorm output (design, requirements, decisions) into local state instead. The prd-taskmaster orchestrator owns the handoff — not superpowers:brainstorming.
  5. Present the summary to the user for approval via AskUserQuestion (see User Approval Gate below).

Autonomous Mode (no user present)

Do NOT invoke superpowers:brainstorming — it blocks on user input and will stall an unattended session. Instead, self-brainstorm using this template:

  1. Read the goal statement from skill args or session-context/CLAUDE-soul-purpose.md.
  2. Read session-context/CLAUDE-activeContext.md for project context.
  3. Write discovery notes directly to session-context/discovery-{timestamp}.md answering every question the interactive flow would ask:
    • Who is this for?
    • What problem does it solve?
    • What are the success metrics?
    • What are the constraints (tech stack, timeline, team, budget, integrations, regulatory)?
    • What's explicitly out of scope?
    • What's the scale (Solo / Team / Enterprise)?
  4. Self-approve: the skill acts as both interrogator and approver. Document assumptions explicitly so the user can audit them on wake-up.
  5. Commit the discovery file. The git history becomes the audit trail — if the user later disagrees, they can reset to that commit and re-run.

Autonomous mode is first-class, not degraded. A well-run autonomous discovery produces a spec the user reads on wake-up and says "yes, that's what I meant" without edits. If you find yourself needing to ask more than two questions the user didn't anticipate, the discovery is under-specified — stop and write a handoff note instead of proceeding.

User Approval Gate (Interactive Mode)

After brainstorming completes, present via AskUserQuestion:

Discovery Complete:
  Goal: [one sentence]
  Audience: [who it's for]
  Approach: [proposed solution]
  Key decisions: [list]
  Constraints: [known limitations]
  Scale: [Solo | Team | Enterprise]

Proceed to generate spec? (or refine further)
  • If user says "refine" → ask what to change, update the summary, re-present.
  • If user approves → capture as the discovery output and proceed to exit gate.

Self-Approval Gate (Autonomous Mode)

Write the discovery summary to session-context/discovery-{timestamp}.md and commit it. No interactive approval is required, but assumptions MUST be explicit in the written summary so the user can audit on wake-up.

Show full SKILL.md (393 more words)Show less

Smart Defaults

If brainstorming (or self-brainstorming) produces thin answers, fill gaps with reasonable assumptions instead of forcing extra questions:

  • Target audience: small team (< 10 users) unless specified otherwise.
  • Timeline: MVP in 4–6 weeks.
  • Tech stack: inferred from requirements — do not pick arbitrarily.
  • Scale: moderate (hundreds of users, not millions).

Document every assumption in the discovery summary so GENERATE can surface them in the spec.

Constraint Extraction (MANDATORY before advancing)

Before moving to GENERATE, explicitly extract and list all constraints mentioned during discovery. Emit this block:

CONSTRAINTS CAPTURED:
- Tech stack: [e.g., "must use Python", "React frontend", "no new dependencies"]
- Timeline: [e.g., "MVP in 2 weeks", "no deadline"]
- Team: [e.g., "solo developer", "3-person team"]
- Budget: [e.g., "free tier only", "$500/month max"]
- Integration: [e.g., "must work with existing Postgres DB", "connects to Stripe"]
- Regulatory: [e.g., "HIPAA compliant", "GDPR", "none specified"]
- Domain-specific: [e.g., "authorized pentest scope: 10.0.0.0/24 only",
  "learning goal: intermediate level"]

Present this list alongside the discovery summary. These constraints MUST be passed to GENERATE — they inform spec content, task decomposition depth, and acceptance criteria. If a constraint is mentioned in discovery but missing from the spec, that's a bug.

Scope Calibration

Infer project scale from discovery answers and set decomposition guidance:

ScaleSignalTask CapSubtask Depth
Solo"just me", "side project", "learning"8–12 tasks2–3 subtasks each
Team"small team", "MVP", "product", "startup"12–20 tasks3–5 subtasks each
Enterprise"compliance", "multiple teams", "platform"20–30 tasks5–8 subtasks each

Pass the scale classification to GENERATE so task count is calibrated, not arbitrary.

Exit gate

After approval (Interactive) or commit (Autonomous), constraints captured, and scale classified:

  1. Call mcp__plugin_prd_go__advance_phase(expected_current="DISCOVER", target="GENERATE", evidence={"user_approved": True, "constraints_captured": True, "scale": "<Solo|Team|Enterprise>", "assumptions_documented": True}). The call atomically transitions pipeline.json from DISCOVER to GENERATE. The expected_current field is the compare-and-swap guard; evidence is stored under phase_evidence[GENERATE] for audit.
  2. Return control to the orchestrator (prd-taskmaster skill). Do NOT invoke GENERATE directly — the orchestrator re-reads current_phase and routes.

Red flags (stop and report, do not paper over)

  • "Brainstorming wants to call writing-plans — I'll let it" → NO. Intercept. The prd-taskmaster pipeline owns the exit, not superpowers:brainstorming.
  • "User hasn't answered, I'll pick for them in Interactive Mode" → NO. If stalled, ask one more targeted question or write a handoff note — don't silently self-approve in Interactive Mode.
  • "Autonomous mode — I'll invoke superpowers:brainstorming anyway" → NO. It blocks on user input and will stall the session. Self-brainstorm with the template above.
  • "Constraints are obvious, I'll skip the CONSTRAINTS CAPTURED block" → NO. GENERATE reads this block — missing constraints become missing spec sections downstream.
  • "I can call advance_phase without check_gate" → NO. Gate first, always.

Non-exits

This skill does not use explicit process termination. A hard block reports the reason and returns control to the orchestrator; the orchestrator decides whether to surface to the user.

© anombyte93, 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/discover of anombyte93/prd-taskmaster.

Open the folder on GitHubat commit 3a9756a

Compare with similar skills

Discover 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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Discover this skillanombyte93/prd-taskmaster604—~2.4kAutomated safety check: PassMIT
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Upload Artifactclosedloop-ai/claude-plugins122—~1.4kAutomated safety check: NotesApache-2.0
Designserpro69/claude-toolbox151—~1.3kAutomated safety check: PassCustom licence
CE BrainstormEveryInc/compound-engineering-plugin25k—~1.9kAutomated safety check: PassMIT
PadPerpetualSoftware/pad186—~10kAutomated safety check: NotesApache-2.0

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Questions about Discover

What does Discover do?

Phase 1 of the prd-taskmaster pipeline: brainstorm-driven discovery. Discover is an agent skill from anombyte93/prd-taskmaster. Phase 1 of the prd-taskmaster pipeline: brainstorm-driven discovery.

When should I use Discover?

Discover fits situations like: tasks that involve Brainstorming; tasks that involve PRD writing; tasks that involve Planning.

How do I install Discover in Claude Code?

Run `npx skills add anombyte93/prd-taskmaster --skill discover -a claude-code`. Or copy the skill folder (skills/discover in anombyte93/prd-taskmaster) into .claude/skills/discover in your project. Claude Code loads it when a task matches its description.

How do I install Discover in Codex?

Run `npx skills add anombyte93/prd-taskmaster --skill discover -a codex`. Or copy the skill folder (skills/discover in anombyte93/prd-taskmaster) into .agents/skills/discover in your project. Codex loads it when a task matches its description.

Can I use Discover 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 anombyte93/prd-taskmaster --skill discover -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/discover, .gemini/skills/discover, .github/skills/discover and .opencode/skills/discover in your project.

What does Discover need to run?

SKILL.md names no scripts, command-line tools or credentials: Discover is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Skill, AskUserQuestion, Write, ToolSearch, mcp__atlas-engine, mcp__plugin_prd_go, mcp__plugin_prd-taskmaster_go, mcp__plugin_atlas-go_go.

Does Discover 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 Discover 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 Discover use?

Discover 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 Discover use?

About 2.4k tokens (SKILL.md is roughly 9.4k 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 Discover?

Skills that share tags, products or a category with Discover: Notion Spec To Implementation (JetBrains/skills, 364 stars), Upload Artifact (closedloop-ai/claude-plugins, 122 stars), Design (serpro69/claude-toolbox, 151 stars) and CE Brainstorm (EveryInc/compound-engineering-plugin, 25k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Discover?

anombyte93 (a GitHub user) maintains it in anombyte93/prd-taskmaster, which has 604 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 14, 2026.

Source: anombyte93/prd-taskmaster on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.