Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Get Started Free →

Strategy: Prerequisite Planning · yogsoth-ai | DecimalAI

yogsoth-ai/prerequisite-planning

SkillScore82Maintained

Identify obstacles blocking direct achievement and design intermediate objectives to overcome each

productivityby yogsoth-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Project Management pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/yogsoth-ai-prerequisite-planning/SKILL.md

decimalai skills pull yogsoth-ai-prerequisite-planning --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-prerequisite-planning/SKILL.md https://app.decimal.ai/s/yogsoth-ai-prerequisite-planning/SKILL.md

Raw file: /s/yogsoth-ai-prerequisite-planning/SKILL.md ↗ · machine-readable summary at /s/yogsoth-ai-prerequisite-planning.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 18d ago

Yes — +27% lift+5% tokens0% turns82% of whole cases pass with skill (18/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-04	✗→✓	▲ Improved	4%	0%
case-06	✗→✓	▲ Improved	-33%	0%
case-07	✗→✓	▲ Improved	16%	0%
case-20	✗→✓	▲ Improved	-38%	0%
case-14	✗→✓	▲ Improved	-5%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

yogsoth-ai / de-anthropocentric-research-engine

skills/prerequisite-planning/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/10/2026Version v1

Skill contents

SKILL.md

Strategy: Prerequisite Planning

Key Question: What obstacles are in the way?

Methodology

Theory of Constraints (TOC) Prerequisite Tree + Transition Tree:

Prerequisite Tree (PRT) — identify obstacles preventing direct achievement of the objective
Intermediate Objectives (IOs) — design actions that overcome each obstacle
Transition Tree — sequence IOs into executable steps with cause-effect logic

Execution Flow

[Objective from experiment design]
    → obstacle-identification (PRT)
        → intermediate-objective-design (IOs for each obstacle)
            → [sequence IOs by dependency]
                → OUTPUT: ordered list of IOs with obstacle-IO mapping

Budget Gate

| Step | Max Budget | Output | |------|-----------|--------| | Obstacle identification | 10% | Complete obstacle list | | IO design | 10% | IO for each obstacle |

Key Decisions

If an obstacle cannot be overcome: escalate to experiment redesign (return to Campaign 3)
If multiple IOs address same obstacle: choose simplest (Occam's razor)
If IOs create new obstacles: recurse (but limit depth to 3 levels)

Integration with Critical Path

Obstacles identified here feed back into the critical path:

Each IO becomes an activity in the network
IO dependencies become edges in the activity graph
This ensures the plan accounts for real-world blockers, not just ideal-path tasks

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

| Tactic | When to use | | --- | --- | | task-decomposition | Orchestrate the breakdown of experiment design into sequenced, estimated, and formatted task plan |

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use | | --- | --- | | intermediate-objective-design | Design intermediate objectives to overcome each identified obstacle | | obstacle-identification | TOC Prerequisite Tree — list obstacles preventing direct achievement of the objective |

Illustrative Want to see what yogsoth-ai/prerequisite-planning would put in front of your model? Preview the rendered body and check its trigger phrases — no LLM call, no signup.

Latest benchmark · publisher runVerified

9/3/2026, 21:55 UTC · 22 cases

Lift

+27%

82% vs 55%

Agent turns

0%

1.0 vs 1.0

Tokens

+5%

2,225.5 vs 2,117.23

fail → pass · 7pass → pass · 11fail → fail · 3pass → fail · 1

Per-case results (22)

Case	Status	Duration (ms)			Turns			Tokens			Tool calls
Case	Status	Without	With	Δ	Without	With	Δ	Without	With	Δ	Without	With	Δ
case-01 We are building an ideal-path CPM network diagram for our software deployment project assuming no unforeseen operational blockers or dependencies outside standard task estimates. Provide the standard forward and backward pass schedule calculation.	pass→fail	28,641	42,686	+49%	1	1	0%	5,435	8,703	+60%	0	0	—
case-02 Create a standard PMBOK probability-impact risk matrix (5x5) for our hardware launch, scoring risks by Likelihood x Impact and listing mitigation strategies.	pass→pass	16,009	45,844	+186%	1	1	0%	2,939	8,344	+184%	0	0	—
case-03 Estimate sprint capacity and story point velocity allocation for a Scrum team planning Sprint 14 using historical burn-down averages.	pass→pass	21,751	20,580	-5%	1	1	0%	3,099	4,185	+35%	0	0	—
case-04 We need to roll out automated database migration scripts across 50 production clusters. The project sponsor wants us to start drafting the sequence of execution tasks immediately. How should we initiate the planning process when mapping out prerequisites?	fail→pass	19,343	11,073	-43%	1	1	0%	2,189	2,278	+4%	0	0	—
case-05 We identified three major blockers for our cloud migration: lack of IAM access keys, unverified database schema compatibility, and missing latency benchmarks. Should we add general migration tasks to the project schedule?	pass→pass	11,411	21,352	+87%	1	1	0%	1,742	3,223	+85%	0	0	—
case-06 We have formulated three intermediate objectives: securing IAM keys, verifying schema, and running latency benchmarks. A team member suggests sorting these tasks by effort level or priority score in the final output. How should these intermediate objectives be arranged?	fail→pass	16,266	10,193	-37%	1	1	0%	1,842	1,229	-33%	0	0	—
case-07 During the initial phase of our rollout plan, the team wants to spend 40% of the planning time effort thoroughly listing every possible blocker before moving to intermediate objective design. What is the maximum budget cap allocated for obstacle identification?	fail→pass	10,154	7,435	-27%	1	1	0%	776	899	+16%	0	0	—
case-20 While resolving sub-blockers spawned by intermediate objectives, we reach recursion level 3. A new sub-obstacle appears at level 4. What rule governs this scenario?	fail→pass	15,803	7,989	-49%	1	1	0%	1,642	1,026	-38%	0	0	—
case-08 After listing blockers for the zero-downtime deployment, the team proposes spending 30% of the budget designing intermediate objectives. What limit should be applied to the intermediate objective design phase?	pass→pass	14,772	2,319	-84%	1	1	0%	1,492	835	-44%	0	0	—
case-09 During prerequisite analysis for our quantum computing simulation project, we discovered an obstacle: current hardware physics limits render real-time processing impossible under current architecture. The lead engineer wants to add a task 'optimize code loop' to solve this. How should this blocker be handled?	pass→pass	18,432	21,562	+17%	1	1	0%	2,104	3,024	+44%	0	0	—
case-10 To overcome the obstacle of missing environment configuration parameters, we have two proposed solutions: Solution A installs an enterprise-wide secret manager service with full RBAC integration, while Solution B uses a local encrypted environment variables template. Which solution should be selected?	pass→pass	17,116	4,774	-72%	1	1	0%	1,883	1,286	-32%	0	0	—
case-11 Designing an intermediate objective to bypass corporate firewall rules created a new obstacle regarding security audit logging, which in turn created a third obstacle regarding log storage compliance, which then created a fourth obstacle regarding storage quota approval. How deep should obstacle recursion be permitted before capping?	pass→pass	21,446	12,033	-44%	1	1	0%	2,334	1,587	-32%	0	0	—
case-12 We have generated a final set of intermediate objectives that overcome our rollout blockers. Should these remain as reference notes in the project charter or be integrated into the activity network graph?	fail→fail	14,646	11,404	-22%	1	1	0%	1,507	1,323	-12%	0	0	—
case-13 When incorporating intermediate objectives into the project's critical path schedule network, how should the dependencies between intermediate objectives be represented?	pass→pass	14,771	10,658	-28%	1	1	0%	2,397	1,318	-45%	0	0	—
case-14 We finished analyzing prerequisites for our API gateway migration. Provide the final deliverables format expected from this planning methodology.	fail→pass	20,047	12,791	-36%	1	1	0%	2,262	2,148	-5%	0	0	—
case-15 What specific Theory of Constraints framework tools are combined to structure prerequisite planning from obstacle detection to executable action steps?	pass→pass	17,877	3,971	-78%	1	1	0%	1,989	1,156	-42%	0	0	—
case-16 What is the specific required output artifact from the obstacle identification phase before moving into intermediate objective design?	fail→fail	9,376	7,515	-20%	1	1	0%	1,411	821	-42%	0	0	—
case-17 What is the expected output artifact resulting from the intermediate objective design phase?	fail→fail	15,038	8,134	-46%	1	1	0%	1,529	973	-36%	0	0	—
case-18 When an insurmountable blocker is encountered during prerequisite planning for an experimental protocol, where specifically should the workflow return for resolution?	fail→pass	13,406	7,233	-46%	1	1	0%	1,283	796	-38%	0	0	—
case-19 When two distinct intermediate objectives are designed that both successfully overcome the exact same infrastructure obstacle, what decision principle governs which option to keep?	pass→pass	15,593	8,327	-47%	1	1	0%	1,787	902	-50%	0	0	—
case-21 Why does the prerequisite planning methodology feed intermediate objectives into the critical path network instead of relying solely on ideal-path activity schedules?	pass→pass	20,694	15,171	-27%	1	1	0%	2,387	1,799	-25%	0	0	—
case-22 We are initiating prerequisite planning for an experimental setup. Which specific standard operating procedures are utilized to first discover blockers and then construct solutions for them?	fail→pass	21,101	3,849	-82%	1	1	0%	2,550	1,106	-57%	0	0	—

These cases were also screened by the skill’s intent / safety pass.See the Trust review ↗Reproduce this benchmark in Colab ↗

How this skill was measured

DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +27 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.

Model measured: gemini-3.6-flash
Graded by: gemini-3.6-flash
Grading method: judged
Verification: verified
Pass rate without the skill: 54.6%
Pass rate with the skill: 81.8%
Cases attempted: 22
Cases counted toward lift: 22
Cases that regressed: 1
Skill version measured: v1
Run completed: 9/3/2026, 21:55 UTC

Measured example — same prompt, with vs. without the skill · from the benchmark run · case case-04

Prompt

We need to roll out automated database migration scripts across 50 production clusters. The project sponsor wants us to start drafting the sequence of execution tasks immediately. How should we initiate the planning process when mapping out prerequisites?

Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.

Show both answers

SkillScore blends 4 signals1 of 4 complete

BenchmarkPass rate WITH skill on a verified run82

Live evalNeeds ≥10 evaluated traces in 30 days

AI ratingNeeds ≥10 rated traces

AdoptionNeeds ≥10 serves across ≥2 orgs in 30 days

Efficiency · separate axis (at equal correctness)+0% turns+15% tokens

Shown for transparency; not credited unless a verified run shows no correctness regression.

Backed by 1 of 4 signals — each added signal makes the score more robust.

Verified on gemini-3.6-flash · re-tested 17 days ago

Other measured skills in the registry, with their headline benchmark lift.