thinking-systems
When behavior is emergent across components—fixes elsewhere break, loops/delays dominate—map boundary, stocks/flows, feedback, archetypes, then rank leverage.
Skill by tjboudreaux
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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~/.claude/skills/thinking-systems
What's inside
- Skill name
thinking-systems- Description
- When behavior is emergent across components—fixes elsewhere break, loops/delays dominate—map boundary, stocks/flows, feedback, archetypes, then rank leverage.
- License
- MIT
- Instructions
- 65 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Systems Mapping and Leverage
Treat the problem as structure and interaction, not isolated parts. Map boundary, stocks/flows, loops/delays, and recurring patterns; intervene at the highest feasible leverage after a side-effect check.
## When to Use
- Symptom spans services/components; single-stack fixes fail or bounce.
- A change in one place breaks another; behavior is emergent.
- Problem recurs despite local fixes (structure, not only symptom).
- Need to rank interventions when parameter/buffer tweaks do not stick.
## When NOT to Use
- Single-component linear bug with clear stack/diff—trace and fix.
- Throughput limited by one obvious stage—use theory-of-constraints.
- Decision is a consequence chain of one proposed action—use second-order.
- Approach selection (plan vs probe vs stabilize)—use cynefin first.
## Procedure
1. **Bound the system.** Name purpose, actors, boundary, and in/out flows. Exclude noise outside the decision horizon; include any path that can feed the symptom.
2. **Map stocks and flows.** List accumulating stocks (queue depth, debt, cache size, WIP) and the rates that fill/drain them. Note what changes slowly even when flows jump.
3. **Find feedback and delays.** For each candidate loop: classify reinforcing (amplifies) vs balancing (resists); mark same-direction (+) vs opposite (-) links; name delays (TTL, deploy lag, metric lag, ramp-up). Even count of opposite links → reinforcing; odd → balancing. Long delay + strong correction → overshoot risk.
4. **Match recurring structure when problems return.** Check only if recurrence or policy resistance is present; do not force a pattern:
- Fixes That Fail — quick fix, delayed worse side effect
- Shifting the Burden — workaround starves fundamental fix
- Limits to Growth — growth hits a balancing constraint
- Tragedy of the Commons — local optima deplete a shared stock
- Escalation — mutual reaction spiral
- Success to the Successful — advantage compounds via allocation
- Growth and Underinvestment — capacity lags demand until crisis
If none fits after a genuine pass, keep the from-scratch map.
5. **Trace symptom to structure.** Walk upstream along flows and loops; separate proximate symptom from structural driver (interaction, delay, wrong goal, missing info).
6. **Rank interventions by leverage, then side effects.** Prefer higher feasible class: goals/paradigm → rules/information → loop structure (gain, balancing add, delay shorten) → stock/flow topology → buffers/parameters. For each candidate: feasibility, blast radius, delayed reversal risk. Prefer moves that cut harmful reinforcing gain or strengthen needed balancing loops without creating a new commons/escalation.
7. **Stop.** Commit highest feasible intervention plus watch signals for loop/delay response. Re-map only if the structure changes or the intervention fails its watch.
**Stop when** boundary, key stocks/flows, dominant loop(s)+delay(s), optional archetype, and a ranked intervention with side-effect check are stated—or when the problem collapses to a single linear cause.
## Output
```text
boundary: <system purpose and edges>
stocks_flows: <stock → inflow/outflow list>
loops:
- name: <loop>
type: reinforcing | balancing
delay: <where cause lags effect>
links: <brief +/->
archetype: <name or none>
structural_driver: <one sentence>
interventions_ranked:
- level: <goals|rules|loops|structure|params>
action: <what>
side_effects: <feedback/elsewhere/delay risk>
chosen: <highest feasible>
watch: <signals that confirm or falsify>
```
## Verification
- **Falsify:** If removing one component fully explains and fixes the issue with no cross-effects, systems mapping is wrong—drop to local debug. If utilization shows one fixed stage as the sole cap, switch to theory-of-constraints.
- **Stop:** Do not keep adding loops after the chosen intervention and watch are set.
- **Over-application guard:** No archetype without recurrence evidence. No low-leverage param tweak listed as primary when a feasible higher class exists. Do not recreate standalone archetype/feedback/leverage procedures—those checks live only inside this map.From tjboudreaux/cc-thinking-skills, MIT.
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Signals
- Stars
- 1,668
- Forks
- 185
- Open issues
- 2
- Last commit (this folder)
- Jul 17, 2026 (3 months ago)
- Last release
- Aug 4, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from tjboudreaux
- 0.782score
thinking-circle-of-competence
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Use when a specific claim may lack grounding.
SkillBFreshness: B★ 1.7KClaude Code +9 - 0.782score
thinking-lindy-effect
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Use when longevity of a non-perishable option matters.
SkillBFreshness: B★ 1.7KClaude Code +9 - 0.782score
thinking-via-negativa
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Use when the reflex is to add a feature, layer, or process.
SkillBFreshness: B★ 1.7KClaude Code +9 - 0.782score
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Use when search or investigation could run forever.
SkillBFreshness: B★ 1.7KClaude Code +9 - 0.782score
thinking-kepner-tregoe
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SkillBFreshness: B★ 1.7KClaude Code +9 - 0.782score
thinking-probabilistic
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thinking-systems skill. Agent Mart. https://agentmart.dev/skills/tjboudreaux-thinking-systems (last updated 2026-10-24)