bottleneck-locator
Find the true bottleneck in a task, system, plan, or workflow.
Skill by Alubiama
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/alubiama-bottleneck-locator
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/bottleneck-locator
What's inside
- Skill name
bottleneck-locator- Description
- Find the true bottleneck in a task, system, plan, or workflow. Use when progress is slower than expected, effort is scattered, or teams are optimizing around the real constraint instead of through it.
- License
- MIT
- Instructions
- 80 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Bottleneck Locator ## Goal Identify the single constraint that most limits progress right now. This skill does not optimize everything. It finds what matters most so effort stops scattering. ## When To Use - progress stalls despite effort - queues, delays, or coordination drag appear - many issues compete for attention - local fixes are not improving throughput ## Scope Boundaries In scope: - identify the active bottleneck - distinguish root constraint from symptoms - recommend the next move against the bottleneck Out of scope by default: - full systems maps - broad redesigns before the constraint is named ## Escalation Conditions Pause and keep the diagnosis provisional when: - the blocked outcome is still vague - the visible delay may be downstream of a deeper unknown - two constraints appear co-equal and the evidence is weak - the proposed fix is much broader than the named constraint If the diagnosis cannot be tightened after one pass, recommend `systems-thinking`, `evidence-gap-detector`, or a smaller validation step. ## Workflow 1. State the blocked outcome. 2. Name the current system boundary being analyzed. 3. List the main stages or dependencies. 4. Find where work, attention, or decisions accumulate. 5. Check whether the apparent bottleneck is primary or downstream. 6. Check whether the wrong system boundary is hiding the real constraint. 7. Name the active constraint. 8. Recommend the smallest intervention that relieves it. ## Output Contract Always return: 1. `blocked_outcome` 2. `system_boundary` 3. `candidate_constraints` 4. `active_bottleneck` 5. `why_this_is_primary` 6. `misleading_symptoms` 7. `relief_action` 8. `risk_of_misdiagnosis` 9. `recommended_followup` 10. `next_step` ## Guardrails - Do not name multiple primary bottlenecks unless they truly co-bind. - Do not optimize around the bottleneck instead of through it. - If evidence is weak, say the diagnosis is provisional. - Prefer the smallest bottleneck-relief action that can prove the diagnosis. - Check whether the apparent bottleneck disappears when the system boundary is redrawn. ## Anti-Patterns - every problem is the bottleneck - symptom chasing - broad optimization with no named constraint
From Alubiama/awesome-cognitive-skills, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 15, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
bottleneck-locator skill. Agent Mart. https://agentmart.dev/skills/alubiama-bottleneck-locator (last updated 2026-10-24)